Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Research and build solutions across algorithms, scaling laws, data processing, optimizers, and model architecture.
Design and run scientific experiments to advance our understanding of scaling large language models and data efficiency.
Implement state-of-the-art methods from the deep learning literature.
Lead small research projects independently while collaborating on larger initiatives
Optimize the training infrastructure for efficient scaling.
Contribute across the entire stack, from low-level optimizations to high-level model design.
Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.
Solid software engineering capabilities with experience building large-scale systems.
Experience with large-scale ETL workflows and training data preparation.
Deep understanding of large-scale ML, especially as it relates to language models, distributed training, and scaling.
Proficient in Python and deep learning frameworks (PyTorch preferred).
Navigate trade-offs between research objectives and practical engineering realities.
Thrive in a fast-paced, high-agency startup environment with bias toward action.
Strong communication capabilities and comfort working collaboratively.
Passionate about advancing the frontier of intelligence.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\n - Research and build solutions across algorithms, scaling laws, data processing, optimizers, and model architecture.\n\n - Design and run scientific experiments to advance our understanding of scaling large language models and data efficiency.\n\n - Implement state-of-the-art methods from the deep learning literature.\n\n - Lead small research projects independently while collaborating on larger initiatives\n\n - Optimize the training infrastructure for efficient scaling.\n\n - Contribute across the entire stack, from low-level optimizations to high-level model design.\n\n\n\n\nABOUT YOU\n\n - Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.\n\n - Solid software engineering capabilities with experience building large-scale systems.\n\n - Experience with large-scale ETL workflows and training data preparation.\n\n - Deep understanding of large-scale ML, especially as it relates to language models, distributed training, and scaling.\n\n - Proficient in Python and deep learning frameworks (PyTorch preferred).\n\n - Navigate trade-offs between research objectives and practical engineering realities.\n\n - Thrive in a fast-paced, high-agency startup environment with bias toward action.\n\n - Strong communication capabilities and comfort working collaboratively.\n\n - Passionate about advancing the frontier of intelligence.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"13e02dca-e042-4ad0-bbbe-be6b09a98211","title":"Member of Technical Staff - Post-Training","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-08-10T18:20:40.510+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/13e02dca-e042-4ad0-bbbe-be6b09a98211","applyUrl":"https://jobs.ashbyhq.com/reflectionai/13e02dca-e042-4ad0-bbbe-be6b09a98211/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Build systems that transform powerful pre-trained models into aligned and general agents.
Drive research and engineering initiatives that push the frontier of post-training, from data curation to large-scale optimization.
Develop data generation pipelines, reward models, reinforcement learning algorithms, and inference-time scaling techniques.
Collaborate across pre-training and post-training teams to deliver step-function gains in model capability.
Contribute to shaping our understanding of how large models learn to reason, follow instructions, and improve through reinforcement learning.
Deep understanding of machine learning fundamentals and practical experience with large-scale LLM training.
Strong engineering skills, comfortable diving into complex ML codebases and distributed systems.
Experience improving model behavior through data, reward modeling, or RL techniques.
Evidence of owning ambitious research or engineering agendas that led to measurable model improvements.
Thrive in a fast-paced, high-agency startup environment; bias toward action and clarity of execution.
Able to work fluidly across research and infra boundaries
Strong communication capabilities and comfort working collaboratively
Passionate about advancing the frontier of intelligence.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\n - Build systems that transform powerful pre-trained models into aligned and general agents.\n\n - Drive research and engineering initiatives that push the frontier of post-training, from data curation to large-scale optimization.\n\n - Develop data generation pipelines, reward models, reinforcement learning algorithms, and inference-time scaling techniques.\n\n - Collaborate across pre-training and post-training teams to deliver step-function gains in model capability.\n\n - Contribute to shaping our understanding of how large models learn to reason, follow instructions, and improve through reinforcement learning.\n\n\n\n\nABOUT YOU\n\n - Deep understanding of machine learning fundamentals and practical experience with large-scale LLM training.\n\n - Strong engineering skills, comfortable diving into complex ML codebases and distributed systems.\n\n - Experience improving model behavior through data, reward modeling, or RL techniques.\n\n - Evidence of owning ambitious research or engineering agendas that led to measurable model improvements.\n\n - Thrive in a fast-paced, high-agency startup environment; bias toward action and clarity of execution.\n\n - Able to work fluidly across research and infra boundaries\n\n - Strong communication capabilities and comfort working collaboratively\n\n - Passionate about advancing the frontier of intelligence.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"bb02e922-8df8-4641-9aab-910997f76392","title":"Don't See Your Role? Apply Here!","department":"Other","team":"Other","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2025-10-07T01:29:34.348+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/bb02e922-8df8-4641-9aab-910997f76392","applyUrl":"https://jobs.ashbyhq.com/reflectionai/bb02e922-8df8-4641-9aab-910997f76392/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
We're always open to great people. If you're aligned with our mission but don't see the right role, we'd love to hear from you.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\nWe're always open to great people. If you're aligned with our mission but don't see the right role, we'd love to hear from you. \n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"5c614820-83b4-49ad-bb6d-0d49f09c078b","title":"Member of Technical Staff - Safety","department":"Research","team":"Safety","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-01-13T17:59:43.452+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/5c614820-83b4-49ad-bb6d-0d49f09c078b","applyUrl":"https://jobs.ashbyhq.com/reflectionai/5c614820-83b4-49ad-bb6d-0d49f09c078b/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Own the red-teaming and adversarial evaluation pipeline for Reflection’s models, continuously probing for failure modes across security, misuse, and alignment gaps.
Work hand-in-hand with the Alignment team to translate safety findings into concrete guardrails, ensuring models behave reliably under stress and adhere to deployment policies.
Validate that every release meets the lab’s risk thresholds before it ships, serving as a critical gatekeeper for our open weight releases.
Develop scalable, automated safety benchmarks that evolve alongside our model capabilities, moving beyond static datasets to dynamic adversarial testing.
Research and implement state-of-the-art jailbreaking techniques and defenses to stay ahead of potential vulnerabilities in the wild.
Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience in AI Safety.
Deep technical understanding of LLM safety, including adversarial attacks, red-teaming methodologies, and interpretability.
Strong software engineering capabilities with experience building automated evaluation pipelines or large-scale ML systems.
Experience with Reinforcement Learning (RLHF/RLAIF) and how it impacts model safety and alignment is a strong plus.
Thrive in a fast-paced, high-agency startup environment with bias toward action.
Willing to make high-stakes decisions regarding model release and safety thresholds.
Passionate about advancing the frontier of intelligence.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\nABOUT THE ROLE\n\n - Own the red-teaming and adversarial evaluation pipeline for Reflection’s models, continuously probing for failure modes across security, misuse, and alignment gaps.\n\n - Work hand-in-hand with the Alignment team to translate safety findings into concrete guardrails, ensuring models behave reliably under stress and adhere to deployment policies.\n\n - Validate that every release meets the lab’s risk thresholds before it ships, serving as a critical gatekeeper for our open weight releases.\n\n - Develop scalable, automated safety benchmarks that evolve alongside our model capabilities, moving beyond static datasets to dynamic adversarial testing.\n\n - Research and implement state-of-the-art jailbreaking techniques and defenses to stay ahead of potential vulnerabilities in the wild.\n\n\nABOUT YOU\n\n - Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience in AI Safety.\n\n - Deep technical understanding of LLM safety, including adversarial attacks, red-teaming methodologies, and interpretability.\n\n - Strong software engineering capabilities with experience building automated evaluation pipelines or large-scale ML systems.\n\n - Experience with Reinforcement Learning (RLHF/RLAIF) and how it impacts model safety and alignment is a strong plus.\n\n - Thrive in a fast-paced, high-agency startup environment with bias toward action.\n\n - Willing to make high-stakes decisions regarding model release and safety thresholds.\n\n - Passionate about advancing the frontier of intelligence.\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"1d029ec2-a842-4dff-b784-1328422c03e8","title":"Forward Deployed Engineer, Lead - LLM Post-training","department":"Commercial","team":"Applied AI","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2025-10-29T20:30:37.555+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/1d029ec2-a842-4dff-b784-1328422c03e8","applyUrl":"https://jobs.ashbyhq.com/reflectionai/1d029ec2-a842-4dff-b784-1328422c03e8/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Role Overview
We're seeking an exceptional technical leader to build and scale Reflection's post-training and evaluation capabilities within the Applied AI team. This team works at the intersection of model adaptation, sovereign deployment, and enterprise deployment: taking Reflection's open-weight models and making them work for specific customer domains, tasks, and constraints. As a Forward Deployed Engineer Lead, Post-Training, you will own the end-to-end technical strategy for model customization, from synthetic data generation and reward modeling through training and production deployment. You will work directly with customers to understand their needs and with research teams to push what's possible with our models.
What You'll Do
Lead post-training engagements with enterprise customers: assess their data, define training strategies, design reward signals and verifiers, prepare datasets, run training loops, and evaluate results against customer-specific benchmarks.
Design and build RL training environments for model adaptation, including synthetic data generation pipelines, reward model training, and preference data collection workflows.
Design and build evaluation infrastructure: define what \"better\" means for each customer use case, build eval harnesses, curate test sets, and establish baselines that measure real-world performance.
Own the data pipeline from raw customer data through training-ready datasets, including synthetic data generation, data quality inspection, cleaning, and format standardization.
Deploy post-trained models across hybrid environments (public cloud, VPC, and on-premises), working with infrastructure teams to ensure inference performance, cost efficiency, and reliability at scale.
Shape and scale the post-training and evaluation practice by defining playbooks, best practices, and technical standards. Mentor engineers on the team and help define what great applied AI work looks like at Reflection.
What We're Looking For
Hands-on post-training experience with large language models at scale. You have built and operated RL training environments, designed preference optimization workflows on models at 50B+ parameter scale, and shipped the results to production.
Experience building synthetic data generation pipelines, reward models, and verifiers for reinforcement learning workflows. You've architected the data and feedback loops that make post-training work.
Deep understanding of evaluation methodology: how to design evaluations that measure what matters, how to interpret training dynamics, and how to tell the difference between a model that looks good on a benchmark and one that actually works.
Practical experience with training infrastructure at scale: comfortable working with multi-node GPU clusters, managing large training runs, debugging distributed training, and optimizing for cost.
Strong software engineering fundamentals. You write production-quality code, not just notebooks. Experience with data pipelines, version control for datasets and models, and reproducible workflows.
6+ years of engineering experience, including 2+ years focused on LLM post-training in a leadership capacity (e.g., Tech Lead on a post-training team, Senior MLE owning preference optimization for a product, or Lead Applied Scientist running RL training pipelines in production).
Experience in customer-facing technical roles, or a genuine interest in developing this skill. In either case, you are comfortable translating domain requirements into training strategies and delivering measurable outcomes.
Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\nRole Overview \nWe're seeking an exceptional technical leader to build and scale Reflection's post-training and evaluation capabilities within the Applied AI team. This team works at the intersection of model adaptation, sovereign deployment, and enterprise deployment: taking Reflection's open-weight models and making them work for specific customer domains, tasks, and constraints. As a Forward Deployed Engineer Lead, Post-Training, you will own the end-to-end technical strategy for model customization, from synthetic data generation and reward modeling through training and production deployment. You will work directly with customers to understand their needs and with research teams to push what's possible with our models.\n\n\n\nWhat You'll Do\n\n - Lead post-training engagements with enterprise customers: assess their data, define training strategies, design reward signals and verifiers, prepare datasets, run training loops, and evaluate results against customer-specific benchmarks.\n\n - Design and build RL training environments for model adaptation, including synthetic data generation pipelines, reward model training, and preference data collection workflows.\n\n - Design and build evaluation infrastructure: define what \"better\" means for each customer use case, build eval harnesses, curate test sets, and establish baselines that measure real-world performance.\n\n - Own the data pipeline from raw customer data through training-ready datasets, including synthetic data generation, data quality inspection, cleaning, and format standardization.\n\n - Deploy post-trained models across hybrid environments (public cloud, VPC, and on-premises), working with infrastructure teams to ensure inference performance, cost efficiency, and reliability at scale.\n\n - Shape and scale the post-training and evaluation practice by defining playbooks, best practices, and technical standards. Mentor engineers on the team and help define what great applied AI work looks like at Reflection.\n\nWhat We're Looking For\n\n - Hands-on post-training experience with large language models at scale. You have built and operated RL training environments, designed preference optimization workflows on models at 50B+ parameter scale, and shipped the results to production.\n\n - Experience building synthetic data generation pipelines, reward models, and verifiers for reinforcement learning workflows. You've architected the data and feedback loops that make post-training work.\n\n - Deep understanding of evaluation methodology: how to design evaluations that measure what matters, how to interpret training dynamics, and how to tell the difference between a model that looks good on a benchmark and one that actually works.\n\n - Practical experience with training infrastructure at scale: comfortable working with multi-node GPU clusters, managing large training runs, debugging distributed training, and optimizing for cost.\n\n - Strong software engineering fundamentals. You write production-quality code, not just notebooks. Experience with data pipelines, version control for datasets and models, and reproducible workflows.\n\n - 6+ years of engineering experience, including 2+ years focused on LLM post-training in a leadership capacity (e.g., Tech Lead on a post-training team, Senior MLE owning preference optimization for a product, or Lead Applied Scientist running RL training pipelines in production).\n\n - Experience in customer-facing technical roles, or a genuine interest in developing this skill. In either case, you are comfortable translating domain requirements into training strategies and delivering measurable outcomes.\n\n - Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"895c4836-b6be-462b-91fc-ddf6295903c9","title":"Strategy & Ops Generalist","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-08-28T17:24:46.009+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/895c4836-b6be-462b-91fc-ddf6295903c9","applyUrl":"https://jobs.ashbyhq.com/reflectionai/895c4836-b6be-462b-91fc-ddf6295903c9/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
We’re looking for a Strategy & Operations Generalist to help us quickly scale out operations.
You will partner closely with founders, engineering, research, and business teams to drive high-priority projects across the company — from GTM strategy and, data and automation, partnerships, internal operations and org scaling. The ideal candidate is both strategic and execution-oriented: able to think big picture, but a builder at heart.
Drive and execute cross-functional initiatives spanning product, research, and business operations.
Build scalable processes to help the company move faster as we grow.
Partner with leadership on strategic planning, prioritization, and execution.
Own special projects that may range from market analysis, automation, and partnerships, ops, and finance.
Develop insights and frameworks to guide decision-making across the company.
Serve as a force multiplier for the leadership team, identifying bottlenecks and unlocking growth.
7-10 years experience in strategy or operations in an early stage startup, or consulting experience with a top tier firm.
Autonomous with ownership mentality.
Strong analytical and problem-solving skills with a bias toward action.
Excellent communication and interpersonal skills; able to influence and collaborate across technical and non-technical teams.
Adaptability and resourcefulness — you thrive in dynamic, ambiguous environments.
Deep interest in AI, AI strategies and the AI market.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for a Strategy & Operations Generalist to help us quickly scale out operations. \n\nYou will partner closely with founders, engineering, research, and business teams to drive high-priority projects across the company — from GTM strategy and, data and automation, partnerships, internal operations and org scaling. The ideal candidate is both strategic and execution-oriented: able to think big picture, but a builder at heart.\n\n\n\n\nWHAT YOU’LL DO\n\n - Drive and execute cross-functional initiatives spanning product, research, and business operations.\n\n - Build scalable processes to help the company move faster as we grow.\n\n - Partner with leadership on strategic planning, prioritization, and execution.\n\n - Own special projects that may range from market analysis, automation, and partnerships, ops, and finance.\n\n - Develop insights and frameworks to guide decision-making across the company.\n\n - Serve as a force multiplier for the leadership team, identifying bottlenecks and unlocking growth.\n \n\n\nWHAT WE’RE LOOKING FOR\n\n - 7-10 years experience in strategy or operations in an early stage startup, or consulting experience with a top tier firm.\n\n - Autonomous with ownership mentality.\n\n - Strong analytical and problem-solving skills with a bias toward action.\n\n - Excellent communication and interpersonal skills; able to influence and collaborate across technical and non-technical teams.\n\n - Adaptability and resourcefulness — you thrive in dynamic, ambiguous environments.\n\n - Deep interest in AI, AI strategies and the AI market.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"075f746b-df26-4738-a44a-82e6d1d615dc","title":"Member of Technical Staff - Evaluations","department":"Research","team":"Evals","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2025-12-17T13:51:01.955+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/075f746b-df26-4738-a44a-82e6d1d615dc","applyUrl":"https://jobs.ashbyhq.com/reflectionai/075f746b-df26-4738-a44a-82e6d1d615dc/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Conduct critical comparative analysis to advance our understanding of model capabilities
Build and refine evaluation systems and processes that create tight feedback loops between data, evals, and model behavior
Develop generalizable evaluation frameworks that capture what matters for reasoning, alignment, and usefulness.
Collaborate closely with pre-training, post-training, and applied teams to translate insights into model improvements.
Push the boundaries of what’s measurable, from synthetic evals to human feedback and real-world interaction data.
Strong statistical analysis and experimental design skills to rigorously measure model improvements
Familiarity with LLM evaluation methodologies: static benchmarks, human preference evals, and/or agentic tasks.
High agency and thrive in a fast-paced startup environment; bias for impact over process.
Excited to work in a new frontier lab, defining how we measure and accelerate progress toward more capable models.
Collaborative, detail-oriented, and motivated by building the feedback loops that make models truly improve.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\n - Conduct critical comparative analysis to advance our understanding of model capabilities\n\n - Build and refine evaluation systems and processes that create tight feedback loops between data, evals, and model behavior\n\n - Develop generalizable evaluation frameworks that capture what matters for reasoning, alignment, and usefulness.\n\n - Collaborate closely with pre-training, post-training, and applied teams to translate insights into model improvements.\n\n - Push the boundaries of what’s measurable, from synthetic evals to human feedback and real-world interaction data.\n \n \n \n\n\nABOUT YOU\n\n - Strong statistical analysis and experimental design skills to rigorously measure model improvements\n\n - Familiarity with LLM evaluation methodologies: static benchmarks, human preference evals, and/or agentic tasks.\n\n - High agency and thrive in a fast-paced startup environment; bias for impact over process.\n\n - Excited to work in a new frontier lab, defining how we measure and accelerate progress toward more capable models.\n\n - Collaborative, detail-oriented, and motivated by building the feedback loops that make models truly improve.\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"8b97b583-3cc6-4834-ae2c-d5aecf22ed7d","title":"Forward Deployed Engineer - AI Engineer","department":"Commercial","team":"Applied AI","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2025-12-17T18:45:30.838+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/8b97b583-3cc6-4834-ae2c-d5aecf22ed7d","applyUrl":"https://jobs.ashbyhq.com/reflectionai/8b97b583-3cc6-4834-ae2c-d5aecf22ed7d/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
We’re looking for a core member of Reflection’s Applied AI team to drive our Forward Deployed Engineering efforts with enterprise customers. This team works hands-on to translate advanced AI research into high-impact, real-world applications. As a Forward Deployed Engineer, you will own the technical strategy and delivery of agentic systems from initial customer discovery through production launch.
Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.
Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.
Collaborate with research teams to adapt and fine-tune models for customer-specific needs.
Support end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), helping ensure scalability, performance, and reliability in production.
Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization.
Strong software engineering background with experience shipping production-grade systems (Python, Typescript)
Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).
Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.
3+ years of software engineering experience delivering AI-driven enterprise solutions (e.g., Forward Deployed Engineer, Software Engineer, or Applied AI Engineer).
Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.
Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nWe’re looking for a core member of Reflection’s Applied AI team to drive our Forward Deployed Engineering efforts with enterprise customers. This team works hands-on to translate advanced AI research into high-impact, real-world applications. As a Forward Deployed Engineer, you will own the technical strategy and delivery of agentic systems from initial customer discovery through production launch.\n\n\n\n\nWHAT YOU'LL DO\n\n - Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.\n\n - Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.\n\n - Collaborate with research teams to adapt and fine-tune models for customer-specific needs.\n\n - Support end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), helping ensure scalability, performance, and reliability in production.\n\n - Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Strong software engineering background with experience shipping production-grade systems (Python, Typescript)\n\n - Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).\n\n - Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.\n\n - 3+ years of software engineering experience delivering AI-driven enterprise solutions (e.g., Forward Deployed Engineer, Software Engineer, or Applied AI Engineer).\n\n - Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.\n\n - Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"f5b95a9f-4ecf-42b2-8932-f01d48d051c0","title":"Data Partnerships & Initiatives Manager","department":"Research","team":"Data Acquisition","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2025-12-18T15:32:58.727+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/f5b95a9f-4ecf-42b2-8932-f01d48d051c0","applyUrl":"https://jobs.ashbyhq.com/reflectionai/f5b95a9f-4ecf-42b2-8932-f01d48d051c0/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Data is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.
In this role, what you build and the partnerships you create will directly shape how our models perform on critical capabilities — agentic tool use, long-horizon reasoning and robust safety alignment. You'll work with world-class researchers advancing the frontier of AI to design our data strategy and deliver it.
What You'll Do
Develop a deep understanding of Reflection's research, product, and business roadmap. Work closely with researchers to translate that into data needs and quality requirements, then design the sourcing strategies and pipelines that meet them.
Own new initiatives and partnerships end-to-end: evaluating suppliers, negotiating agreements, and verifying deliverables. Lead cross-functional efforts to maximize research velocity without compromising data quality.
Build deep knowledge of the broader data ecosystem to spot gaps before they become blockers and opportunities that contribute to our edge. You'll need the technical depth to understand what makes training data genuinely good and the creativity and resourcefulness to reliably deliver it
What We’re Looking For
6+ years of experience in business operations, strategy, venture capital, private equity or consulting. We will also consider high-trajectory candidates with fewer years of experience and an exceptional track record – often former tech startup founders.
Have owned large ambiguous problems end-to-end and can break them down into clear actionable plans.
Are comfortable engaging senior leaders, influencing decisions and driving alignment across teams.
Thrive in fast-moving, high-pressure environments, bringing resourcefulness, adaptability and ideally a sense of humor to pair with the sense of urgency.
Are highly analytical with strong intuition for what are the important questions, rigorous in investigating and clear in communicating insights to decision-makers.
Have experience with data analysis tools such as SQL, Python, Tableau, Excel or similar
Are genuinely curious about LLM training, and care deeply about the impact of AI on business, research and society.
Bonus Points:
You've founded a tech startup and navigated the zero-to-one and rapid scaling firsthand
You have a technical background: such as a CS degree and/or experience in engineering, product, data science or AI.
You've worked directly on data collection, labeling, or annotation for training LLMs
You've embedded with or supported research teams at a frontier lab, AI company or research-driven organization.
You have a track record managing large, diverse pools of vendors and external contractors.
You come from a consulting background and know how to translate complex requirements into concrete deliverables.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\nROLE OVERVIEW\n\nData is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.\n\n\n\nIn this role, what you build and the partnerships you create will directly shape how our models perform on critical capabilities — agentic tool use, long-horizon reasoning and robust safety alignment. You'll work with world-class researchers advancing the frontier of AI to design our data strategy and deliver it.\n\n\n\nWhat You'll Do\n\n - Develop a deep understanding of Reflection's research, product, and business roadmap. Work closely with researchers to translate that into data needs and quality requirements, then design the sourcing strategies and pipelines that meet them.\n\n - Own new initiatives and partnerships end-to-end: evaluating suppliers, negotiating agreements, and verifying deliverables. Lead cross-functional efforts to maximize research velocity without compromising data quality.\n\n - Build deep knowledge of the broader data ecosystem to spot gaps before they become blockers and opportunities that contribute to our edge. You'll need the technical depth to understand what makes training data genuinely good and the creativity and resourcefulness to reliably deliver it\n\n\n\nWhat We’re Looking For\n\n - 6+ years of experience in business operations, strategy, venture capital, private equity or consulting. We will also consider high-trajectory candidates with fewer years of experience and an exceptional track record – often former tech startup founders.\n\n - Have owned large ambiguous problems end-to-end and can break them down into clear actionable plans.\n\n - Are comfortable engaging senior leaders, influencing decisions and driving alignment across teams.\n\n - Thrive in fast-moving, high-pressure environments, bringing resourcefulness, adaptability and ideally a sense of humor to pair with the sense of urgency.\n\n - Are highly analytical with strong intuition for what are the important questions, rigorous in investigating and clear in communicating insights to decision-makers.\n\n - Have experience with data analysis tools such as SQL, Python, Tableau, Excel or similar\n\n - Are genuinely curious about LLM training, and care deeply about the impact of AI on business, research and society.\n \n\n\n\nBonus Points:\n\n - You've founded a tech startup and navigated the zero-to-one and rapid scaling firsthand\n\n - You have a technical background: such as a CS degree and/or experience in engineering, product, data science or AI.\n\n - You've worked directly on data collection, labeling, or annotation for training LLMs\n\n - You've embedded with or supported research teams at a frontier lab, AI company or research-driven organization.\n\n - You have a track record managing large, diverse pools of vendors and external contractors.\n\n - You come from a consulting background and know how to translate complex requirements into concrete deliverables.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"c567de5a-a599-42f7-8f74-602fab95fd17","title":"Member of Technical Staff - Data Quality Engineer (Post-training)","department":"Research","team":"Data Acquisition","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-01-08T14:52:07.406+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/c567de5a-a599-42f7-8f74-602fab95fd17","applyUrl":"https://jobs.ashbyhq.com/reflectionai/c567de5a-a599-42f7-8f74-602fab95fd17/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Data is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.
As a member of the Data Team, your mission is to ensure that the data used to train and evaluate our models meets a high bar for quality, reliability, and downstream impact. You will directly shape how our models perform on critical capabilities — agentic tool use, long-horizon reasoning and robust safety alignment.
Working with world-class researchers on our post-training teams, you’ll help turn fuzzy notions of “good data” into concrete, measurable standards that scale across large data campaigns. We’re looking for engineers who combine strong engineering fundamentals with a deep curiosity about data quality and its impact on model behavior
Working closely with our post-training teams you will:
Own upstream data quality for LLM post-training and evaluation by analyzing expert-developed datasets and operationalizing quality standards for reasoning, alignment, and agentic use cases
Partner closely with research and post-training teams to translate requirements into measurable quality signals, and provide actionable feedback to external data vendors
Design, validate, and scale automated QA methods, including LLM-as-a-Judge frameworks, to reliably measure data quality across large campaigns
Build reusable QA pipelines that reliably deliver high-quality data to post-training teams for model training and evaluation
Monitor and report on data quality over time, driving continuous iteration on quality standards, processes, and acceptance criteria
Strong engineering fundamentals with experience building data pipelines, QA systems, or evaluation workflows for post-training data and agentic environments
Detail-oriented with an analytical mindset, able to identify failure modes, inconsistencies, and subtle issues that affect data quality
Solid understanding of how data quality impacts training (SFT and RL) and evaluation, with the ability to translate quality concerns into concrete signals, decisions, and feedback
Experience designing and validating automated quality checks, including rule-based systems, statistical methods, or model-assisted approaches such as LLM-as-a-Judge
Comfortable working autonomously, owning problems end-to-end, and collaborating effectively with researchers, engineers, and operations partners
Proficiency in Python and building ML / LLM workflows. Must be comfortable debugging and writing scalable code
Experience working with large datasets and automated evaluation or quality-checking systems
Familiarity with how LLMs work and can describe how models are trained and evaluated
Excellent communication skills with the ability to clearly articulate complex technical concepts across teams
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nData is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.\n\nAs a member of the Data Team, your mission is to ensure that the data used to train and evaluate our models meets a high bar for quality, reliability, and downstream impact. You will directly shape how our models perform on critical capabilities — agentic tool use, long-horizon reasoning and robust safety alignment.\n\nWorking with world-class researchers on our post-training teams, you’ll help turn fuzzy notions of “good data” into concrete, measurable standards that scale across large data campaigns. We’re looking for engineers who combine strong engineering fundamentals with a deep curiosity about data quality and its impact on model behavior\n\n\n\nWorking closely with our post-training teams you will:\n\n - Own upstream data quality for LLM post-training and evaluation by analyzing expert-developed datasets and operationalizing quality standards for reasoning, alignment, and agentic use cases\n\n - Partner closely with research and post-training teams to translate requirements into measurable quality signals, and provide actionable feedback to external data vendors\n\n - Design, validate, and scale automated QA methods, including LLM-as-a-Judge frameworks, to reliably measure data quality across large campaigns\n\n - Build reusable QA pipelines that reliably deliver high-quality data to post-training teams for model training and evaluation\n\n - Monitor and report on data quality over time, driving continuous iteration on quality standards, processes, and acceptance criteria\n\n\n\n\nABOUT YOU\n\n - Strong engineering fundamentals with experience building data pipelines, QA systems, or evaluation workflows for post-training data and agentic environments\n\n - Detail-oriented with an analytical mindset, able to identify failure modes, inconsistencies, and subtle issues that affect data quality\n\n - Solid understanding of how data quality impacts training (SFT and RL) and evaluation, with the ability to translate quality concerns into concrete signals, decisions, and feedback\n\n - Experience designing and validating automated quality checks, including rule-based systems, statistical methods, or model-assisted approaches such as LLM-as-a-Judge\n\n - Comfortable working autonomously, owning problems end-to-end, and collaborating effectively with researchers, engineers, and operations partners\n\n\n\n\nSKILLS AND QUALIFICATIONS\n\n - Proficiency in Python and building ML / LLM workflows. Must be comfortable debugging and writing scalable code\n\n - Experience working with large datasets and automated evaluation or quality-checking systems\n\n - Familiarity with how LLMs work and can describe how models are trained and evaluated\n\n - Excellent communication skills with the ability to clearly articulate complex technical concepts across teams\n \n \n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"3f496904-537e-47fd-8af8-a9b7bc490a0f","title":"Member of Technical Staff - Data Quality Engineer (Pre-training)","department":"Research","team":"Data Acquisition","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-01-08T14:53:13.587+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/3f496904-537e-47fd-8af8-a9b7bc490a0f","applyUrl":"https://jobs.ashbyhq.com/reflectionai/3f496904-537e-47fd-8af8-a9b7bc490a0f/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Data is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.
As a member of the Data Team, your mission is to ensure that the data used to train our models meets a high bar for quality, reliability, and downstream impact. You will directly shape how our models perform on critical capabilities.
Working with world-class researchers on our pre-training teams, you’ll help turn fuzzy notions of “good data” into concrete, measurable standards that scale across large data campaigns. We’re looking for engineers who combine strong engineering fundamentals with a deep curiosity about data quality and its impact on model performance.
Working closely with our pre-training teams you will:
Own upstream data quality for LLM pre-training; as a specialist or generalist across languages and modalities
Partner closely with research and pre-training teams to translate requirements into measurable quality signals, and provide actionable feedback to external data vendors
In addition to human-in-the-loop processes, you will design, validate, and scale automated QA methods to reliably measure data quality across large campaigns
Build reusable QA pipelines that reliably deliver high-quality data to pre-training teams for model training
Monitor and report on data quality over time, driving continuous iteration on quality standards, processes, and acceptance criteria
Strong engineering fundamentals with experience building data pipelines, QA systems, or evaluation workflows for pre-training data
Detail-oriented with an analytical mindset, able to identify failure modes, inconsistencies, and subtle issues that affect data quality
Solid understanding of how data quality impacts pre-training, with the ability to translate quality concerns into concrete signals, decisions, and feedback
Experience designing and validating automated quality checks, including rule-based systems, statistical methods, or model-assisted approaches such as LLM-as-a-Judge
Comfortable working autonomously, owning problems end-to-end, and collaborating effectively with researchers, engineers, and operations partners
Proficiency in Python and building ML / LLM workflows. Must be comfortable debugging and writing scalable code
Experience working with large datasets and automated evaluation or quality-checking systems
Familiarity with how LLMs work and can describe how models are trained and evaluated
Excellent communication skills with the ability to clearly articulate complex technical concepts across teams
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nData is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.\n\nAs a member of the Data Team, your mission is to ensure that the data used to train our models meets a high bar for quality, reliability, and downstream impact. You will directly shape how our models perform on critical capabilities.\n\nWorking with world-class researchers on our pre-training teams, you’ll help turn fuzzy notions of “good data” into concrete, measurable standards that scale across large data campaigns. We’re looking for engineers who combine strong engineering fundamentals with a deep curiosity about data quality and its impact on model performance.\n\n\n\nWorking closely with our pre-training teams you will:\n\n - Own upstream data quality for LLM pre-training; as a specialist or generalist across languages and modalities\n\n - Partner closely with research and pre-training teams to translate requirements into measurable quality signals, and provide actionable feedback to external data vendors\n\n - In addition to human-in-the-loop processes, you will design, validate, and scale automated QA methods to reliably measure data quality across large campaigns\n\n - Build reusable QA pipelines that reliably deliver high-quality data to pre-training teams for model training\n\n - Monitor and report on data quality over time, driving continuous iteration on quality standards, processes, and acceptance criteria\n\n\n\n\nABOUT YOU\n\n - Strong engineering fundamentals with experience building data pipelines, QA systems, or evaluation workflows for pre-training data\n\n - Detail-oriented with an analytical mindset, able to identify failure modes, inconsistencies, and subtle issues that affect data quality\n\n - Solid understanding of how data quality impacts pre-training, with the ability to translate quality concerns into concrete signals, decisions, and feedback\n\n - Experience designing and validating automated quality checks, including rule-based systems, statistical methods, or model-assisted approaches such as LLM-as-a-Judge\n\n - Comfortable working autonomously, owning problems end-to-end, and collaborating effectively with researchers, engineers, and operations partners\n\n\n\n\n\nSKILLS AND QUALIFICATIONS\n\n - Proficiency in Python and building ML / LLM workflows. Must be comfortable debugging and writing scalable code\n\n - Experience working with large datasets and automated evaluation or quality-checking systems\n\n - Familiarity with how LLMs work and can describe how models are trained and evaluated\n\n - Excellent communication skills with the ability to clearly articulate complex technical concepts across teams\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"8c4cb1a6-8dbe-4f28-80a3-97c2eb8ccf5b","title":"Recruiting Coordinator","department":"People","team":"Talent Acquisition","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-14T14:14:16.809+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/8c4cb1a6-8dbe-4f28-80a3-97c2eb8ccf5b","applyUrl":"https://jobs.ashbyhq.com/reflectionai/8c4cb1a6-8dbe-4f28-80a3-97c2eb8ccf5b/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
We're hiring a Recruiting Coordinator to own the machinery behind our hiring — the systems, process, and enablement that let recruiters and hiring managers move fast without dropping anything. This is not a scheduling-only role: you'll get into the guts of our ATS, build the reports that tell us where hiring is working and where it's stuck, and stand up new programs end to end. You'll sit at the center of every hire, balancing the needs of recruiters, hiring managers, and candidates, and you'll have real ownership over how talent ops runs as we scale. Based out of SF or NY, this role is an onsite position and you'll work closely with the recruiting team from day one.
Manage candidate logistics and communications, balancing the priorities of recruiters, hiring managers, and candidates
Own day-to-day operations of our ATS (Ashby) — configuration, hygiene, troubleshooting, and continuous improvement
Build and maintain reporting and dashboards to inform recruiting decisions
Design and launch new recruiting programs and tools — run enablement sessions with recruiters, interviewers, etc and act as the ongoing point person
Identify and fix breakdowns in process before they become bottlenecks
Keep our talent ops stack (ATS, scheduling tools, sourcing tools) integrated and running smoothly
2+ years of experience in recruiting operations, talent ops, or a related coordination role
Genuine interest in getting into the nitty gritty of talent ops — systems, tooling, ATS configuration, and enablement, not just scheduling
Strong communication skills
Comfort building reports and dashboards, with a working understanding of core recruiting metrics
Track record of launching a new program or process and driving adoption of it
High attention to detail and ownership — things don't fall through the cracks on your watch
Ashby experience is a strong plus, especially having gone through an ATS implementation or migration
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nWe're hiring a Recruiting Coordinator to own the machinery behind our hiring — the systems, process, and enablement that let recruiters and hiring managers move fast without dropping anything. This is not a scheduling-only role: you'll get into the guts of our ATS, build the reports that tell us where hiring is working and where it's stuck, and stand up new programs end to end. You'll sit at the center of every hire, balancing the needs of recruiters, hiring managers, and candidates, and you'll have real ownership over how talent ops runs as we scale. Based out of SF or NY, this role is an onsite position and you'll work closely with the recruiting team from day one.\n\n\n\n\nWHAT YOU'LL DO\n\n - Manage candidate logistics and communications, balancing the priorities of recruiters, hiring managers, and candidates\n\n - Own day-to-day operations of our ATS (Ashby) — configuration, hygiene, troubleshooting, and continuous improvement\n\n - Build and maintain reporting and dashboards to inform recruiting decisions\n\n - Design and launch new recruiting programs and tools — run enablement sessions with recruiters, interviewers, etc and act as the ongoing point person\n\n - Identify and fix breakdowns in process before they become bottlenecks\n\n - Keep our talent ops stack (ATS, scheduling tools, sourcing tools) integrated and running smoothly\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 2+ years of experience in recruiting operations, talent ops, or a related coordination role\n\n - Genuine interest in getting into the nitty gritty of talent ops — systems, tooling, ATS configuration, and enablement, not just scheduling\n\n - Strong communication skills\n\n - Comfort building reports and dashboards, with a working understanding of core recruiting metrics\n\n - Track record of launching a new program or process and driving adoption of it\n\n - High attention to detail and ownership — things don't fall through the cracks on your watch\n\n - Ashby experience is a strong plus, especially having gone through an ATS implementation or migration\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"d85b167c-10cb-4ae6-b792-09afe8a6d3c2","title":"Member of Technical Staff - Data Ingestion Engineer","department":"Research","team":"Data Acquisition","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-06-19T09:42:40.447+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/d85b167c-10cb-4ae6-b792-09afe8a6d3c2","applyUrl":"https://jobs.ashbyhq.com/reflectionai/d85b167c-10cb-4ae6-b792-09afe8a6d3c2/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Data is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.
As a member of the Data Team, your mission is to build and operate the ingestion systems that turn the open web and other large-scale data sources into reliable, well-structured corpora for training frontier models. You will own the machinery that acquires, extracts, normalizes, versions, and delivers data to our pre-training pipelines. You’ll work directly with world-class researchers to close the loop between what we collect and how it impacts model performance.
This role is ideal for engineers who love building robust distributed systems, but who also want to run experiments, reason about tradeoffs in data acquisition, and iterate quickly based on measurable impact.
Working closely with our pre-training and data quality teams, you will:
Build and operate large-scale data ingestion systems for pre-training, including web crawling, extraction, and dataset delivery
Run experiments to evaluate crawling strategies, extraction methods, and ingestion tradeoffs
Analyze ingested data to identify gaps, redundancy, and areas to improve
Build ingestion pipelines that scale reliably across large data campaigns
Develop specialized crawlers for high-priority data sources
Review code, debug production issues, and continuously improve ingestion infrastructure
Curious about how training data influences model capabilities, and can iterate quickly based on measurable downstream impact
Able to collaborate tightly across functions: researchers, infra, operations, and external partners.
Enjoy working in a hybrid research–engineering role
Experience building web crawling, data ingestion, or large-scale data acquisition systems using Ray, Beam, Spark, or similar technologies.
Familiarity with how LLMs are trained and evaluated, and an intuition for what makes data useful for training
Comfortable working with very large datasets (multi-TB to PB scale) and building systems that are observable, testable, and maintainable
Comfortable designing experiments and using data to guide system improvements
Excellent communication skills. You can explain system behavior. You consider and communicate tradeoffs clearly
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nData is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.\n\n\n\nAs a member of the Data Team, your mission is to build and operate the ingestion systems that turn the open web and other large-scale data sources into reliable, well-structured corpora for training frontier models. You will own the machinery that acquires, extracts, normalizes, versions, and delivers data to our pre-training pipelines. You’ll work directly with world-class researchers to close the loop between what we collect and how it impacts model performance.\n\n\n\nThis role is ideal for engineers who love building robust distributed systems, but who also want to run experiments, reason about tradeoffs in data acquisition, and iterate quickly based on measurable impact.\n\n\n\nWorking closely with our pre-training and data quality teams, you will:\n\n - Build and operate large-scale data ingestion systems for pre-training, including web crawling, extraction, and dataset delivery\n\n - Run experiments to evaluate crawling strategies, extraction methods, and ingestion tradeoffs\n\n - Analyze ingested data to identify gaps, redundancy, and areas to improve\n\n - Build ingestion pipelines that scale reliably across large data campaigns\n\n - Develop specialized crawlers for high-priority data sources\n\n - Review code, debug production issues, and continuously improve ingestion infrastructure\n\n\n\n\nABOUT YOU:\n\n - Curious about how training data influences model capabilities, and can iterate quickly based on measurable downstream impact\n\n - Able to collaborate tightly across functions: researchers, infra, operations, and external partners.\n\n - Enjoy working in a hybrid research–engineering role\n\n\n\n\nSKILLS AND QUALIFICATIONS:\n\n - Experience building web crawling, data ingestion, or large-scale data acquisition systems using Ray, Beam, Spark, or similar technologies.\n\n - Familiarity with how LLMs are trained and evaluated, and an intuition for what makes data useful for training\n\n - Comfortable working with very large datasets (multi-TB to PB scale) and building systems that are observable, testable, and maintainable\n\n - Comfortable designing experiments and using data to guide system improvements\n\n - Excellent communication skills. You can explain system behavior. You consider and communicate tradeoffs clearly\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"4dfa52c0-8b11-4d6f-82ec-7d1fc0b4b982","title":"AI Compute and Infrastructure Counsel (Legal)","department":"Legal","team":"Legal","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-04-28T17:45:15.296+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/4dfa52c0-8b11-4d6f-82ec-7d1fc0b4b982","applyUrl":"https://jobs.ashbyhq.com/reflectionai/4dfa52c0-8b11-4d6f-82ec-7d1fc0b4b982/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
As Compute and Infrastructure Counsel, you will be the primary legal partner to our Strategy and Operations teams on complex infrastructure projects. You will own the negotiation and execution of agreements that underwrite Reflection’s AI buildout, including strategic hardware partnerships with chip and server makers, hyperscaler and neocloud capacity reservations, data center leases and colocation agreements, power and utility arrangements, and the construction contracts behind new AI factories.
This is a high-impact role for a seasoned commercial lawyer who wants to sit at the intersection of frontier AI and infrastructure. You will operate with significant autonomy, build the playbooks for a function that does not yet exist, and have a direct hand in enabling the physical layer of Reflection’s AI systems.
Lead negotiation of large-scale compute and cloud capacity agreements with hyperscalers, neoclouds, and emerging providers — including capacity reservations, minimum commitments, service-level commitments, portability, and exit rights.
Own strategic hardware partnerships with chip, accelerator, server, and networking vendors.
Drive end-to-end legal support for data center and AI factory buildouts — colocation and hosting master agreements, ground and build-to-suit leases, engineering and construction contracts, interconnection agreements, power purchases and utility arrangements.
Structure and negotiate power arrangements: power purchase agreements, tolling agreements, utility service agreements, behind-the-meter generation, and long-term energy and transmission commitments.
Serve as legal lead on strategic infrastructure transactions — joint ventures, site acquisitions, and bespoke financing structures supporting the AI factory roadmap.
Build scalable playbooks, templates, and delegation frameworks so our commercial and infrastructure teams can move at speed without sacrificing rigor.
Partner with Security, Privacy, and Policy colleagues on cross-cutting issues: tenant isolation, customer data flows, sovereign compute, and engagement with regulators.
Manage specialized outside counsel across real estate, energy, hardware, and construction.
J.D. and active bar membership (or in-house registration) in at least one U.S. jurisdiction.
At least 8+ years of relevant legal experience, ideally with a combination of law firm and in-house experience, with a meaningful track record leading complex infrastructure, hardware supply, or cloud/compute transactions.
Demonstrated depth in at least two of the following, and working fluency across the rest:
Strategic hardware partnerships and supply agreements (semiconductors, accelerators, servers, networking, or comparable).
Hyperscaler and cloud capacity agreements, ideally from the enterprise customer side.
Power purchase, utility, and energy contracting.
Data center leases, colocation and hosting, and large-scale buildout contracting.
Comfortable operating independently on fast-moving, first-of-their-kind deals while setting a high bar for quality and speed.
Significant experience managing and directing a deal team and outside counsel.
Sound commercial judgment — you know when to push, when to paper around an issue, and when to escalate.
Clear written and verbal communication; able to translate contractual complexity for non-lawyer stakeholders.
Technical fluency and strong business acumen across compute transactions, project finance, and technology and hardware procurement. We are building this function from the ground up, not inheriting one.
Prior experience at an AI lab, hyperscaler, semiconductor company, or large-scale data center operator.
Exposure to construction, real estate or land use matters.
Familiarity with tax and financing structures for capital-intensive infrastructure.
Government, regulatory, or national-security background, including export controls.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nAs Compute and Infrastructure Counsel, you will be the primary legal partner to our Strategy and Operations teams on complex infrastructure projects. You will own the negotiation and execution of agreements that underwrite Reflection’s AI buildout, including strategic hardware partnerships with chip and server makers, hyperscaler and neocloud capacity reservations, data center leases and colocation agreements, power and utility arrangements, and the construction contracts behind new AI factories.\n\nThis is a high-impact role for a seasoned commercial lawyer who wants to sit at the intersection of frontier AI and infrastructure. You will operate with significant autonomy, build the playbooks for a function that does not yet exist, and have a direct hand in enabling the physical layer of Reflection’s AI systems.\n\n\n\n\nWHAT YOU’LL DO\n\n - Lead negotiation of large-scale compute and cloud capacity agreements with hyperscalers, neoclouds, and emerging providers — including capacity reservations, minimum commitments, service-level commitments, portability, and exit rights.\n\n - Own strategic hardware partnerships with chip, accelerator, server, and networking vendors.\n\n - Drive end-to-end legal support for data center and AI factory buildouts — colocation and hosting master agreements, ground and build-to-suit leases, engineering and construction contracts, interconnection agreements, power purchases and utility arrangements.\n\n - Structure and negotiate power arrangements: power purchase agreements, tolling agreements, utility service agreements, behind-the-meter generation, and long-term energy and transmission commitments.\n\n - Serve as legal lead on strategic infrastructure transactions — joint ventures, site acquisitions, and bespoke financing structures supporting the AI factory roadmap.\n\n - Build scalable playbooks, templates, and delegation frameworks so our commercial and infrastructure teams can move at speed without sacrificing rigor.\n\n - Partner with Security, Privacy, and Policy colleagues on cross-cutting issues: tenant isolation, customer data flows, sovereign compute, and engagement with regulators.\n\n - Manage specialized outside counsel across real estate, energy, hardware, and construction.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - J.D. and active bar membership (or in-house registration) in at least one U.S. jurisdiction.\n\n - At least 8+ years of relevant legal experience, ideally with a combination of law firm and in-house experience, with a meaningful track record leading complex infrastructure, hardware supply, or cloud/compute transactions.\n\n - Demonstrated depth in at least two of the following, and working fluency across the rest:\n \n - Strategic hardware partnerships and supply agreements (semiconductors, accelerators, servers, networking, or comparable).\n \n - Hyperscaler and cloud capacity agreements, ideally from the enterprise customer side.\n \n - Power purchase, utility, and energy contracting.\n \n - Data center leases, colocation and hosting, and large-scale buildout contracting.\n\n - Comfortable operating independently on fast-moving, first-of-their-kind deals while setting a high bar for quality and speed.\n\n - Significant experience managing and directing a deal team and outside counsel.\n\n - Sound commercial judgment — you know when to push, when to paper around an issue, and when to escalate.\n\n - Clear written and verbal communication; able to translate contractual complexity for non-lawyer stakeholders.\n\n - Technical fluency and strong business acumen across compute transactions, project finance, and technology and hardware procurement. We are building this function from the ground up, not inheriting one.\n\n\n\n\nNICE TO HAVE\n\n - Prior experience at an AI lab, hyperscaler, semiconductor company, or large-scale data center operator.\n\n - Exposure to construction, real estate or land use matters.\n\n - Familiarity with tax and financing structures for capital-intensive infrastructure.\n\n - Government, regulatory, or national-security background, including export controls.\n \n \n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"8b05b1e6-0286-464b-9fff-c6ac44c35b8c","title":"Member of Technical Staff - Distributed Systems Engineer","department":"Engineering","team":"Foundations","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-03-12T09:18:00.562+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/8b05b1e6-0286-464b-9fff-c6ac44c35b8c","applyUrl":"https://jobs.ashbyhq.com/reflectionai/8b05b1e6-0286-464b-9fff-c6ac44c35b8c/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Build and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.
Build and operate the core shared services that power our research, training, and production environments. These systems form the foundational platform that multiple teams depend on for model development, deployment, and evaluation, unifying data, compute, and workflow management across the stack while enabling rapid experimentation and reliable production systems.
Build and operate shared services that multiple teams rely on across research and production workflows.
Define and uphold reliability targets through SLIs, SLOs, and healthy on-call practices.
Maintain strong operational readiness with runbooks, incident playbooks, and capacity planning.
Ensure correctness and performance under load, addressing consistency, tail latency, and failure modes.
Develop APIs, SDKs, and internal platforms that enable high-velocity experimentation and iteration.
Reduce operational burden through better tooling, standardization, and platform patterns that scale across teams.
Container Abstractions: Containers-as-a-Service, Kubernetes abstraction layers, container orchestration, reproducible environments, multi-tenant isolation.
Distributed Systems Architecture: Sharding, replication, coordination services, high-concurrency systems, concurrency control.
Service Development Stack: gRPC, Protobuf, Go, Rust, C++.
Reliability & Performance: Idempotency, retries, backpressure, SLI/SLO design, tail latency optimization, service reliability engineering.
Strong software engineering background with experience shipping production-grade systems.
Experience designing APIs, services, or developer platforms that handle large-scale data or compute.
Comfortable navigating complex codebases, debugging hard problems, and optimizing for reliability and speed.
Thrive in a high-agency, fast-paced startup environment; bias toward action and impact.
Excited about zero to one challenges, building new systems rather than maintaining legacy ones.
Collaborative, clear communicator, and comfortable working across research and infra boundaries.
Motivated by creating the software backbone for the world’s most capable open-weight AI systems.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\nFOUNDATIONS\n\n\nVISION: \n\nBuild and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.\n\n\n\n\nWHAT THIS TEAM DOES\n\nBuild and operate the core shared services that power our research, training, and production environments. These systems form the foundational platform that multiple teams depend on for model development, deployment, and evaluation, unifying data, compute, and workflow management across the stack while enabling rapid experimentation and reliable production systems.\n\n - Build and operate shared services that multiple teams rely on across research and production workflows.\n\n - Define and uphold reliability targets through SLIs, SLOs, and healthy on-call practices.\n\n - Maintain strong operational readiness with runbooks, incident playbooks, and capacity planning.\n\n - Ensure correctness and performance under load, addressing consistency, tail latency, and failure modes.\n\n - Develop APIs, SDKs, and internal platforms that enable high-velocity experimentation and iteration.\n\n - Reduce operational burden through better tooling, standardization, and platform patterns that scale across teams.\n \n \n\n\nWHAT YOU'LL WORK WITH\n\n - Container Abstractions: Containers-as-a-Service, Kubernetes abstraction layers, container orchestration, reproducible environments, multi-tenant isolation.\n\n - Distributed Systems Architecture: Sharding, replication, coordination services, high-concurrency systems, concurrency control.\n\n - Service Development Stack: gRPC, Protobuf, Go, Rust, C++.\n\n - Reliability & Performance: Idempotency, retries, backpressure, SLI/SLO design, tail latency optimization, service reliability engineering.\n\n\n\n\nABOUT YOU\n\n - Strong software engineering background with experience shipping production-grade systems.\n\n - Experience designing APIs, services, or developer platforms that handle large-scale data or compute.\n\n - Comfortable navigating complex codebases, debugging hard problems, and optimizing for reliability and speed.\n\n - Thrive in a high-agency, fast-paced startup environment; bias toward action and impact.\n\n - Excited about zero to one challenges, building new systems rather than maintaining legacy ones.\n\n - Collaborative, clear communicator, and comfortable working across research and infra boundaries.\n\n - Motivated by creating the software backbone for the world’s most capable open-weight AI systems.\n \n \n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"9e0c3947-a4ca-4c09-b0e8-dfaf634f33d7","title":"Forward Deployed Engineer - LLM Post-training","department":"Commercial","team":"Applied AI","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-04-22T00:06:32.313+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/9e0c3947-a4ca-4c09-b0e8-dfaf634f33d7","applyUrl":"https://jobs.ashbyhq.com/reflectionai/9e0c3947-a4ca-4c09-b0e8-dfaf634f33d7/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Role Overview
We're looking for a core member of Reflection's Applied AI team to drive model fine-tuning and evaluations for enterprise customers. This team takes Reflection's open-weight models and adapts them for specific customer domains, tasks, and constraints. As a ML Engineer, you will work hands-on with customer data, run fine-tuning workflows, build evaluation harnesses, and deploy adapted models to production. You'll work directly with customers to understand what they need and with research teams to push what's possible.
What You'll Do
Fine-tune Reflection's open-weight models for customer-specific use cases: prepare datasets, configure training runs (SFT, preference optimization, reinforcement fine-tuning), and iterate based on evals.
Build and maintain evaluation infrastructure: design eval suites, curate test sets, establish baselines, and measure whether fine-tuned models actually improve on the tasks customers care about.
Prepare training data from raw customer inputs: inspect data quality, clean and format datasets, identify adversarial or noisy samples, and build reproducible data pipelines.
Debug and diagnose training and inference issues: interpret loss curves, catch data quality problems, and identify when training dynamics indicate something is wrong.
Support end-to-end deployments of fine-tuned models across hybrid environments (public cloud, VPC, and on-premises), helping ensure inference performance and reliability in production.
Contribute to evolving playbooks, evaluation benchmarks, and best practices as part of a growing fine-tuning and evals practice.
What We're Looking For
Applied ML experience with hands-on fine-tuning of language models. You have prepared datasets, run training loops, evaluated results, and shipped a fine-tuned model. Familiarity with SFT, DPO, RLHF, or similar techniques.
Understanding of evaluation methodology: how to design evals, interpret training graphs, and tell whether a model is actually better or just overfitting to the benchmark.
Comfort with training infrastructure: GPUs, compute management, debugging common training failures. You don't need to be an infra engineer, but you should not be afraid of a stack trace from a training loop.
Strong software engineering fundamentals (Python). You write clean, reproducible code. Experience with data pipelines and version control for datasets and experiments.
3+ years of engineering experience with meaningful exposure to applied ML or ML engineering (e.g., MLE, Applied Scientist, Data Scientist who shipped models to production, or ML-focused SWE).
Demonstrated ability and interest to work in customer-facing environments, understanding user needs and translating domain requirements into training strategies.
Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\nRole Overview \nWe're looking for a core member of Reflection's Applied AI team to drive model fine-tuning and evaluations for enterprise customers. This team takes Reflection's open-weight models and adapts them for specific customer domains, tasks, and constraints. As a ML Engineer, you will work hands-on with customer data, run fine-tuning workflows, build evaluation harnesses, and deploy adapted models to production. You'll work directly with customers to understand what they need and with research teams to push what's possible.\n\n\n\nWhat You'll Do\n\n - Fine-tune Reflection's open-weight models for customer-specific use cases: prepare datasets, configure training runs (SFT, preference optimization, reinforcement fine-tuning), and iterate based on evals.\n\n - Build and maintain evaluation infrastructure: design eval suites, curate test sets, establish baselines, and measure whether fine-tuned models actually improve on the tasks customers care about.\n\n - Prepare training data from raw customer inputs: inspect data quality, clean and format datasets, identify adversarial or noisy samples, and build reproducible data pipelines.\n\n - Debug and diagnose training and inference issues: interpret loss curves, catch data quality problems, and identify when training dynamics indicate something is wrong.\n\n - Support end-to-end deployments of fine-tuned models across hybrid environments (public cloud, VPC, and on-premises), helping ensure inference performance and reliability in production.\n\n - Contribute to evolving playbooks, evaluation benchmarks, and best practices as part of a growing fine-tuning and evals practice.\n \n \n\nWhat We're Looking For\n\n - Applied ML experience with hands-on fine-tuning of language models. You have prepared datasets, run training loops, evaluated results, and shipped a fine-tuned model. Familiarity with SFT, DPO, RLHF, or similar techniques.\n\n - Understanding of evaluation methodology: how to design evals, interpret training graphs, and tell whether a model is actually better or just overfitting to the benchmark.\n\n - Comfort with training infrastructure: GPUs, compute management, debugging common training failures. You don't need to be an infra engineer, but you should not be afraid of a stack trace from a training loop.\n\n - Strong software engineering fundamentals (Python). You write clean, reproducible code. Experience with data pipelines and version control for datasets and experiments.\n\n - 3+ years of engineering experience with meaningful exposure to applied ML or ML engineering (e.g., MLE, Applied Scientist, Data Scientist who shipped models to production, or ML-focused SWE).\n\n - Demonstrated ability and interest to work in customer-facing environments, understanding user needs and translating domain requirements into training strategies.\n\n - Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"d5e3d318-79b4-4104-9e72-5a48ddfad114","title":"Member of Technical Staff - Data Platform","department":"Engineering","team":"Foundations","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-07-21T10:51:29.228+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/d5e3d318-79b4-4104-9e72-5a48ddfad114","applyUrl":"https://jobs.ashbyhq.com/reflectionai/d5e3d318-79b4-4104-9e72-5a48ddfad114/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Build and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.
Build and operate the core data systems and pipelines that power our research, training, and production environments. This platform enables high-velocity experimentation, reliable model development, and scalable production workflows by unifying ingestion, processing, and orchestration across the data lifecycle.
Design ingestion and orchestration patterns for both batch and streaming workloads.
Build scalable compute and storage foundations (formats, engines, runtimes) that support large-scale data processing.
Ensure reproducible pipelines through versioning, backfills, and isolated execution environments.
Provide trusted data quality, lineage, and governance signals so teams can make confident production decisions.
Maintain predictable cost and performance through guardrails, budgets, and continuous system tuning.
Enable a unified data layer that supports research, training, and production across the model development lifecycle.
Build the core data systems and pipelines that power our research, training, and production environments. Design and implement reliable, scalable ingestion and orchestration patterns for batch and streaming workloads. Develop the storage and compute foundations that enable reproducible experimentation and high-velocity iteration. Drive data quality and governance standards that teams can trust for production decisions. Provide the foundational data layer that unifies ingestion, processing, and workflow management across model development.
What You'll Work With
Compute & Orchestration: Spark, Flink, Beam, Airflow, Dagster, Kafka, PubSub.
Storage & Analytics: Data lake and warehouse architectures, Parquet, Iceberg, Delta Lake, BigQuery, Snowflake.
Metadata & Data Quality: Lineage systems, metadata management, Great Expectations, reproducibility systems.
Cost & Performance Management: Partitioning strategies, clustering, cost optimization, SLA-driven pipelines.
Strong data engineering background with experience shipping production-grade pipelines at scale.
Experience designing and owning end-to-end data systems handling large-scale batch and streaming workloads.
Comfortable debugging complex pipeline failures, optimizing for cost and performance, and maintaining data quality.
Thrive in a high-agency, fast-paced environment; bias toward action and impact.
Excited about zero to one challenges — building new systems rather than maintaining legacy ones.
Collaborative, clear communicator, comfortable working across research and infrastructure boundaries.
Motivated by creating the trusted data backbone for the world's most capable open-weight AI systems.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\nFOUNDATIONS\n\n\nVISION: \n\nBuild and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.\n\n\n\n\nWHAT THIS TEAM DOES\n\nBuild and operate the core data systems and pipelines that power our research, training, and production environments. This platform enables high-velocity experimentation, reliable model development, and scalable production workflows by unifying ingestion, processing, and orchestration across the data lifecycle.\n\n - Design ingestion and orchestration patterns for both batch and streaming workloads.\n\n - Build scalable compute and storage foundations (formats, engines, runtimes) that support large-scale data processing.\n\n - Ensure reproducible pipelines through versioning, backfills, and isolated execution environments.\n\n - Provide trusted data quality, lineage, and governance signals so teams can make confident production decisions.\n\n - Maintain predictable cost and performance through guardrails, budgets, and continuous system tuning.\n\n - Enable a unified data layer that supports research, training, and production across the model development lifecycle.\n \n \n\n\nABOUT THE ROLE\n\nBuild the core data systems and pipelines that power our research, training, and production environments. Design and implement reliable, scalable ingestion and orchestration patterns for batch and streaming workloads. Develop the storage and compute foundations that enable reproducible experimentation and high-velocity iteration. Drive data quality and governance standards that teams can trust for production decisions. Provide the foundational data layer that unifies ingestion, processing, and workflow management across model development.\n\n\n\nWhat You'll Work With\n\n - Compute & Orchestration: Spark, Flink, Beam, Airflow, Dagster, Kafka, PubSub.\n\n - Storage & Analytics: Data lake and warehouse architectures, Parquet, Iceberg, Delta Lake, BigQuery, Snowflake.\n\n - Metadata & Data Quality: Lineage systems, metadata management, Great Expectations, reproducibility systems.\n\n - Cost & Performance Management: Partitioning strategies, clustering, cost optimization, SLA-driven pipelines.\n \n \n\n\nABOUT YOU\n\n - Strong data engineering background with experience shipping production-grade pipelines at scale.\n\n - Experience designing and owning end-to-end data systems handling large-scale batch and streaming workloads.\n\n - Comfortable debugging complex pipeline failures, optimizing for cost and performance, and maintaining data quality.\n\n - Thrive in a high-agency, fast-paced environment; bias toward action and impact.\n\n - Excited about zero to one challenges — building new systems rather than maintaining legacy ones.\n\n - Collaborative, clear communicator, comfortable working across research and infrastructure boundaries.\n\n - Motivated by creating the trusted data backbone for the world's most capable open-weight AI systems.\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"bf075674-ad6c-4ab6-aa30-f7c37c59e759","title":"Member of Technical Staff - Research Software Engineer","department":"Research","team":"Research","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-03-12T09:09:47.150+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/bf075674-ad6c-4ab6-aa30-f7c37c59e759","applyUrl":"https://jobs.ashbyhq.com/reflectionai/bf075674-ad6c-4ab6-aa30-f7c37c59e759/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Bridge the gap between research and production by turning cutting-edge algorithms into scalable training systems. You will design and optimize the core infrastructure behind frontier AI models — from reinforcement learning training loops and distributed GPU training to massive-scale data pipelines.
Our systems train models across thousands of GPUs and process petabyte-scale datasets. We care deeply about numerical stability, throughput, and reproducibility.
This team owns and evolves the core infrastructure behind our training systems.
We focus on:
Reinforcement learning training infrastructure
Distributed training and inference systems
Experiment infrastructure and reproducibility
Large-scale data pipelines
The goal is to build the engineering foundation that allows researchers to iterate quickly while training models at massive scale.
You will architect and optimize the core training infrastructure that powers our models. This includes RL training loops, distributed GPU systems, and large-scale data pipelines.
You will work closely with researchers to transform new ideas into reliable, scalable training systems.
Responsibilities include:
Designing and optimizing large-scale training loops and data pipelines.
Implementing state-of-the-art techniques and ensuring they are numerically stable and computationally efficient.
Building internal tooling for launching, monitoring, and reproducing complex experiments.
Diagnosing deep bottlenecks across the training stack (GPU memory issues, communication overhead, dataloader stalls).
Translating research prototypes into reusable, production-grade infrastructure.
Distributed Training
GPU parallelism (data, tensor, pipeline, expert)
Large-scale distributed training infrastructure
Communication optimization (NCCL, RDMA, GPU interconnects)
FSDP / ZeRO and model sharding
Orchestration & Runtime Systems
Ray, Kubernetes, Slurm
Distributed runtimes and async systems
Containerization and sandboxing
Frameworks
PyTorch
JAX
Megatron-style training stacks
Triton / custom kernels
Data Infrastructure
Large-scale dataset curation pipelines
Deduplication and filtering systems
Tokenization and preprocessing
Distributed data processing frameworks
You are a strong software engineer who speaks the language of machine learning.
You may not have a PhD, but you know how to implement a research paper.
You have deep experience in at least one of the following: Distributed Training & Inference or Data Infrastructure
You enjoy working at the boundary between:
Machine learning algorithms
Distributed systems
High-performance computing
You care deeply about performance, numerical stability, and reproducibility.
You thrive in high-agency environments and enjoy solving hard technical problems.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nTHE ROLES MISSION\n\nBridge the gap between research and production by turning cutting-edge algorithms into scalable training systems. You will design and optimize the core infrastructure behind frontier AI models — from reinforcement learning training loops and distributed GPU training to massive-scale data pipelines.\n\nOur systems train models across thousands of GPUs and process petabyte-scale datasets. We care deeply about numerical stability, throughput, and reproducibility.\n\n\n\n\nWHAT THIS TEAM DOES\n\nThis team owns and evolves the core infrastructure behind our training systems.\n\nWe focus on:\n\n - Reinforcement learning training infrastructure\n\n - Distributed training and inference systems\n\n - Experiment infrastructure and reproducibility\n\n - Large-scale data pipelines\n\nThe goal is to build the engineering foundation that allows researchers to iterate quickly while training models at massive scale.\n\n\n\n\nABOUT THE ROLE\n\nYou will architect and optimize the core training infrastructure that powers our models. This includes RL training loops, distributed GPU systems, and large-scale data pipelines.\n\nYou will work closely with researchers to transform new ideas into reliable, scalable training systems.\n\nResponsibilities include:\n\n - Designing and optimizing large-scale training loops and data pipelines.\n\n - Implementing state-of-the-art techniques and ensuring they are numerically stable and computationally efficient.\n\n - Building internal tooling for launching, monitoring, and reproducing complex experiments.\n\n - Diagnosing deep bottlenecks across the training stack (GPU memory issues, communication overhead, dataloader stalls).\n\n - Translating research prototypes into reusable, production-grade infrastructure.\n\n\n\n\nWHAT YOU'LL WORK WITH\n\n\n\n\nDistributed Training\n\n - GPU parallelism (data, tensor, pipeline, expert)\n\n - Large-scale distributed training infrastructure\n\n - Communication optimization (NCCL, RDMA, GPU interconnects)\n\n - FSDP / ZeRO and model sharding\n\nOrchestration & Runtime Systems\n\n - Ray, Kubernetes, Slurm\n\n - Distributed runtimes and async systems\n\n - Containerization and sandboxing\n\nFrameworks\n\n - PyTorch\n\n - JAX\n\n - Megatron-style training stacks\n\n - Triton / custom kernels\n\nData Infrastructure\n\n - Large-scale dataset curation pipelines\n\n - Deduplication and filtering systems\n\n - Tokenization and preprocessing\n\n - Distributed data processing frameworks\n\n\n\n\nABOUT YOU\n\n - You are a strong software engineer who speaks the language of machine learning.\n\n - You may not have a PhD, but you know how to implement a research paper.\n\n - You have deep experience in at least one of the following: Distributed Training & Inference or Data Infrastructure\n\n - You enjoy working at the boundary between:\n \n - Machine learning algorithms\n \n - Distributed systems\n \n - High-performance computing\n\n - You care deeply about performance, numerical stability, and reproducibility.\n\n - You thrive in high-agency environments and enjoy solving hard technical problems.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"99cd3069-dd01-4008-9a0f-a36aee1e45fc","title":"Member of Technical Staff - Platform Foundations","department":"Engineering","team":"Foundations","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-03-12T09:16:49.623+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/99cd3069-dd01-4008-9a0f-a36aee1e45fc","applyUrl":"https://jobs.ashbyhq.com/reflectionai/99cd3069-dd01-4008-9a0f-a36aee1e45fc/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Build and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.
Build and operate the foundational platform layer that every engineering team depends on. Define opinionated golden paths for cloud infrastructure, networking, and access patterns so the safe and scalable path is also the easiest to follow. Work across cloud infrastructure, network primitives, security guardrails, and developer tooling to ensure engineers can ship quickly without sacrificing reliability, security, or cost predictability.
Define and maintain golden paths for cloud projects, networking, and access patterns.
Ship secure defaults and guardrails that make the safe path the easy path.
Build and operate core networking primitives including routing, DNS, load balancing, and connectivity.
Establish baseline observability and operational hygiene across services and infrastructure.
Own developer infrastructure such as build systems, CI/CD, caching, and test infrastructure to keep engineers shipping fast.
Drive cloud cost visibility and reduction through tooling, guardrails, and optimization without slowing teams down.
Cloud & Multi-Cloud Architecture: GCP, AWS, multi-cloud design, VPC architecture, private DNS, load balancers, advanced routing (BGP), large-scale Kubernetes clusters, control plane scaling.
Identity & Security Foundations: IAM, OIDC, RBAC, KMS, secrets management, policy-as-code (OPA, Gatekeeper), secure defaults, cloud guardrails.
Infrastructure & Automation: Terraform, Pulumi, Kubernetes foundations, CI/CD systems, Bazel, build caching, hermetic builds.
Observability & Cost Governance: Prometheus, Grafana, OpenTelemetry, logging and metrics systems, FinOps, cloud cost optimization.
Strong infrastructure or platform engineering background with experience shipping production-grade systems.
Deep expertise in at least one of: cloud platforms, network engineering, security architecture, or developer tooling — with working knowledge across the others.
Comfortable navigating complex multi-team environments, debugging hard infrastructure problems, and building for reliability and scale.
Thrive in a high-agency, fast-paced environment; bias toward action and impact.
Excited about zero to one challenges — building new systems rather than maintaining legacy ones.
Collaborative, clear communicator, comfortable working across research and infrastructure boundaries.
Motivated by creating the secure, self-serve foundation that the world's most capable open-weight AI systems are built on.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nFOUNDATIONS\n\n\n\n\nVISION: \n\nBuild and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.\n\n\n\n\nWHAT THIS TEAM DOES\n\nBuild and operate the foundational platform layer that every engineering team depends on. Define opinionated golden paths for cloud infrastructure, networking, and access patterns so the safe and scalable path is also the easiest to follow. Work across cloud infrastructure, network primitives, security guardrails, and developer tooling to ensure engineers can ship quickly without sacrificing reliability, security, or cost predictability.\n\n - Define and maintain golden paths for cloud projects, networking, and access patterns.\n\n - Ship secure defaults and guardrails that make the safe path the easy path.\n\n - Build and operate core networking primitives including routing, DNS, load balancing, and connectivity.\n\n - Establish baseline observability and operational hygiene across services and infrastructure.\n\n - Own developer infrastructure such as build systems, CI/CD, caching, and test infrastructure to keep engineers shipping fast.\n\n - Drive cloud cost visibility and reduction through tooling, guardrails, and optimization without slowing teams down.\n\n\n\n\nWHAT YOU'LL WORK WITH\n\n - Cloud & Multi-Cloud Architecture: GCP, AWS, multi-cloud design, VPC architecture, private DNS, load balancers, advanced routing (BGP), large-scale Kubernetes clusters, control plane scaling.\n\n - Identity & Security Foundations: IAM, OIDC, RBAC, KMS, secrets management, policy-as-code (OPA, Gatekeeper), secure defaults, cloud guardrails.\n\n - Infrastructure & Automation: Terraform, Pulumi, Kubernetes foundations, CI/CD systems, Bazel, build caching, hermetic builds.\n\n - Observability & Cost Governance: Prometheus, Grafana, OpenTelemetry, logging and metrics systems, FinOps, cloud cost optimization.\n \n \n\n\nABOUT YOU\n\n - Strong infrastructure or platform engineering background with experience shipping production-grade systems.\n\n - Deep expertise in at least one of: cloud platforms, network engineering, security architecture, or developer tooling — with working knowledge across the others.\n\n - Comfortable navigating complex multi-team environments, debugging hard infrastructure problems, and building for reliability and scale.\n\n - Thrive in a high-agency, fast-paced environment; bias toward action and impact.\n\n - Excited about zero to one challenges — building new systems rather than maintaining legacy ones.\n\n - Collaborative, clear communicator, comfortable working across research and infrastructure boundaries.\n\n - Motivated by creating the secure, self-serve foundation that the world's most capable open-weight AI systems are built on.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"62c12b7c-781a-4178-bc8a-7b43c7ec2338","title":"Member of Technical Staff - Applications","department":"Engineering","team":"Foundations","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-03-12T09:18:41.688+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/62c12b7c-781a-4178-bc8a-7b43c7ec2338","applyUrl":"https://jobs.ashbyhq.com/reflectionai/62c12b7c-781a-4178-bc8a-7b43c7ec2338/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Build and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.
Build the internal and customer-facing product surfaces that turn platform capabilities into usable workflows. This role sits at the intersection of engineering and product translating ambiguous requirements into clean, operable systems and taking ideas from early prototype to hardened production components.
Build internal product surfaces such as dashboards, admin tools, and self-serve workflows.
Own end-to-end delivery across UI, APIs, authentication, RBAC, and audit trails.
Integrate with customer environments and adjacent systems to ensure seamless workflows.
Productionize prototypes into reliable, maintainable, and operable platform components.
Translate fuzzy product requirements into clear system designs and usable interfaces.
Feed delivery learnings back into platform patterns and defaults so the next system ships faster.
Full-Stack & API Development: React, TypeScript, REST, gRPC, FastAPI, Go services, API design.
Auth & Governance: OIDC authentication, RBAC, audit logging.
Workflows & Integrations: Event-driven systems, workflow orchestration, feature flags, customer integrations.
Monitoring & Developer Tooling: Dashboards, observability tooling, experiment tracking systems, metrics and log visualization.
Strong full-stack engineering background with experience shipping production-grade applications end-to-end.
Comfortable owning the full delivery surface — UI through API through auth — without needing to hand off between layers.
Experience integrating with external systems or customer environments and making those integrations reliable and maintainable.
Thrive in a high-agency, fast-paced environment; bias toward action and impact.
Excited about zero to one challenges — turning prototypes into real systems rather than polishing existing ones.
Collaborative, clear communicator, comfortable working across research, platform, and product boundaries.
Motivated by building the tooling and workflows that let the world's most capable open-weight AI systems get built faster.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nFOUNDATIONS\n\n\n\n\nVISION: \n\nBuild and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.\n\n\n\n\nWHAT THIS TEAM DOES\n\nBuild the internal and customer-facing product surfaces that turn platform capabilities into usable workflows. This role sits at the intersection of engineering and product translating ambiguous requirements into clean, operable systems and taking ideas from early prototype to hardened production components.\n\n - Build internal product surfaces such as dashboards, admin tools, and self-serve workflows.\n\n - Own end-to-end delivery across UI, APIs, authentication, RBAC, and audit trails.\n\n - Integrate with customer environments and adjacent systems to ensure seamless workflows.\n\n - Productionize prototypes into reliable, maintainable, and operable platform components.\n\n - Translate fuzzy product requirements into clear system designs and usable interfaces.\n\n - Feed delivery learnings back into platform patterns and defaults so the next system ships faster.\n\n\n\n\nWHAT YOU'LL WORK WITH\n\n - Full-Stack & API Development: React, TypeScript, REST, gRPC, FastAPI, Go services, API design.\n\n - Auth & Governance: OIDC authentication, RBAC, audit logging.\n\n - Workflows & Integrations: Event-driven systems, workflow orchestration, feature flags, customer integrations.\n\n - Monitoring & Developer Tooling: Dashboards, observability tooling, experiment tracking systems, metrics and log visualization.\n\n\n\n\nABOUT YOU\n\n - Strong full-stack engineering background with experience shipping production-grade applications end-to-end.\n\n - Comfortable owning the full delivery surface — UI through API through auth — without needing to hand off between layers.\n\n - Experience integrating with external systems or customer environments and making those integrations reliable and maintainable.\n\n - Thrive in a high-agency, fast-paced environment; bias toward action and impact.\n\n - Excited about zero to one challenges — turning prototypes into real systems rather than polishing existing ones.\n\n - Collaborative, clear communicator, comfortable working across research, platform, and product boundaries.\n\n - Motivated by building the tooling and workflows that let the world's most capable open-weight AI systems get built faster.\n \n \n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"d9ead368-c050-40ef-a9dc-34a84a2df829","title":"Member of Technical Staff - Compute Platform","department":"Engineering","team":"Foundations","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-03-20T16:37:36.424+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/d9ead368-c050-40ef-a9dc-34a84a2df829","applyUrl":"https://jobs.ashbyhq.com/reflectionai/d9ead368-c050-40ef-a9dc-34a84a2df829/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection’s Compute Platform team specializes in keeping our compute layer healthy and highly available. We run a K8s-based platform distributed across multiple neo-clouds. We manage multi-cloud scheduling, node health, and performance debugging at this scale presents genuinely hard systems problems. More broadly, you will work closely with Reflection's training teams to co-design fault tolerance, node health checks, and remediation strategies.
Cluster Management: Build and maintain tools for the automatic remediation, topology-aware scheduling, capacity planning and rapid hardware debugging.
Platform Engineering: Design and iterate on our cluster management stack for workloads across large, multi-GPU fleets
Monitoring & Observability: Implement comprehensive cluster-wide monitoring, focusing on durability and active performance benchmarking.
Roadmap Execution: Prepare the infrastructure for next-generation GPU deployments and increasingly larger cluster sizes. Long-term, you will help own multi-cloud storage, petabyte-scale data replication, and GPU-to-GPU network performance.
• Systems-level engineering experience with a focus on cluster-wide behavior and maintenance.
• Strong coding ability and a demonstrated focus on systems or GPU infrastructure.
• Deep GPU hardware knowledge beyond standard Kubernetes,e.g., familiarity with NCCL.
• Alignment with a K8s-first architecture
• Cloud storage expertise, specifically managing high-performance data products (like VAST) across multiple data centers, connecting those storage environments together and handling datasets and checkpointing at scale.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nReflection’s Compute Platform team specializes in keeping our compute layer healthy and highly available. We run a K8s-based platform distributed across multiple neo-clouds. We manage multi-cloud scheduling, node health, and performance debugging at this scale presents genuinely hard systems problems. More broadly, you will work closely with Reflection's training teams to co-design fault tolerance, node health checks, and remediation strategies.\n\n\n\n\nWHAT YOU’LL DO\n\n - Cluster Management: Build and maintain tools for the automatic remediation, topology-aware scheduling, capacity planning and rapid hardware debugging.\n\n - Platform Engineering: Design and iterate on our cluster management stack for workloads across large, multi-GPU fleets\n\n - Monitoring & Observability: Implement comprehensive cluster-wide monitoring, focusing on durability and active performance benchmarking.\n\n - Roadmap Execution: Prepare the infrastructure for next-generation GPU deployments and increasingly larger cluster sizes. Long-term, you will help own multi-cloud storage, petabyte-scale data replication, and GPU-to-GPU network performance.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n• Systems-level engineering experience with a focus on cluster-wide behavior and maintenance.\n\n• Strong coding ability and a demonstrated focus on systems or GPU infrastructure.\n\n• Deep GPU hardware knowledge beyond standard Kubernetes,e.g., familiarity with NCCL.\n\n• Alignment with a K8s-first architecture\n\n• Cloud storage expertise, specifically managing high-performance data products (like VAST) across multiple data centers, connecting those storage environments together and handling datasets and checkpointing at scale.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"5f773a1e-fee2-427d-88f5-0eee11b76d77","title":"Member of Technical Staff - Pre-Training Infra","department":"Research","team":"Pre-Training Infra","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-03-24T19:20:12.408+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/5f773a1e-fee2-427d-88f5-0eee11b76d77","applyUrl":"https://jobs.ashbyhq.com/reflectionai/5f773a1e-fee2-427d-88f5-0eee11b76d77/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Build and scale distributed training systems that power frontier model pre-training.
Work closely with research teams to design and operate large-scale training runs for foundation models.
Develop infrastructure that enables efficient training across thousands of GPUs using modern distributed training frameworks.
Optimize training throughput, stability, and efficiency for large model training workloads.
Collaborate directly with pre-training researchers to translate experimental ideas into scalable, production-ready training systems.
Improve performance of distributed training workloads through optimization of communication, memory usage, and GPU utilization.
Build and maintain training pipelines that support large-scale datasets, checkpointing, and experiment iteration.
Debug and resolve performance bottlenecks across distributed training stacks including model parallelism, GPU communication, and training runtime systems.
Contribute to the development of systems that enable rapid experimentation and iteration on new training techniques.
Experience building or operating distributed training systems for large machine learning models.
Strong experience working with modern distributed training frameworks such as Megatron, DeepSpeed, or similar large-scale training systems.
Familiarity with large-scale model parallelism strategies (data, tensor, pipeline, or expert parallelism).
Experience optimizing training throughput and GPU utilization in large distributed environments.
Familiarity with GPU communication libraries such as NCCL and performance tuning for distributed workloads.
Experience working closely with ML researchers to productionize experimental training workflows.
Strong debugging skills across GPU compute, distributed training systems, and large-scale ML pipelines
Experience working with large datasets and training pipelines used for foundation model pre-training.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\n - Build and scale distributed training systems that power frontier model pre-training.\n\n - Work closely with research teams to design and operate large-scale training runs for foundation models.\n\n - Develop infrastructure that enables efficient training across thousands of GPUs using modern distributed training frameworks.\n\n - Optimize training throughput, stability, and efficiency for large model training workloads.\n\n - Collaborate directly with pre-training researchers to translate experimental ideas into scalable, production-ready training systems.\n\n - Improve performance of distributed training workloads through optimization of communication, memory usage, and GPU utilization.\n\n - Build and maintain training pipelines that support large-scale datasets, checkpointing, and experiment iteration.\n\n - Debug and resolve performance bottlenecks across distributed training stacks including model parallelism, GPU communication, and training runtime systems.\n\n - Contribute to the development of systems that enable rapid experimentation and iteration on new training techniques.\n \n \n \n\n\nIDEAL EXPERIENCE\n\n - Experience building or operating distributed training systems for large machine learning models.\n\n - Strong experience working with modern distributed training frameworks such as Megatron, DeepSpeed, or similar large-scale training systems.\n\n - Familiarity with large-scale model parallelism strategies (data, tensor, pipeline, or expert parallelism).\n\n - Experience optimizing training throughput and GPU utilization in large distributed environments.\n\n - Familiarity with GPU communication libraries such as NCCL and performance tuning for distributed workloads.\n\n - Experience working closely with ML researchers to productionize experimental training workflows.\n\n - Strong debugging skills across GPU compute, distributed training systems, and large-scale ML pipelines\n\n - Experience working with large datasets and training pipelines used for foundation model pre-training.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"d8c898c0-83d9-4d1c-b098-a98c4c2a64a1","title":"Member of Technical Staff - Mid-Training Infra","department":"Research","team":"Mid-Training ML","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-03-24T19:31:46.053+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/d8c898c0-83d9-4d1c-b098-a98c4c2a64a1","applyUrl":"https://jobs.ashbyhq.com/reflectionai/d8c898c0-83d9-4d1c-b098-a98c4c2a64a1/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Design, build, and operate large-scale GPU infrastructure for high-throughput model inference and mid-training workloads.
Develop systems that power synthetic data generation and reinforcement learning pipelines at scale.
Build high-performance inference platforms capable of serving and evaluating models across thousands of GPUs.
Optimize throughput, latency, and GPU utilization for large language model inference and rollout workloads.
Build infrastructure that supports reinforcement learning pipelines, including large-scale rollout generation, evaluation, and policy improvement loops.
Work closely with research teams to support distributed RL workloads and large-scale model evaluation infrastructure.
Improve performance of model execution through kernel-level optimization, model parallelism strategies, and GPU runtime improvements.
Develop distributed systems that enable large-scale synthetic data generation and RL-driven training workflows.
Diagnose and resolve performance bottlenecks across inference runtimes, GPU kernels, networking, and distributed compute systems.
Experience deploying and operating large-scale GPU systems for inference or model serving.
Several years of hands-on experience building and running production infrastructure.
Strong understanding of GPU performance characteristics and optimization techniques.
Experience working with modern inference frameworks such as SGLang, Megatron, or similar high-performance LLM runtimes.
Familiarity with distributed reinforcement learning infrastructure or rollout generation systems.
Experience optimizing throughput for large-scale model execution workloads.
Experience working with GPU kernels or low-level performance optimization.
Familiarity with infrastructure used for synthetic data pipelines or RL training workflows.
Experience debugging performance issues across GPU, networking, and distributed execution layers.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\n - Design, build, and operate large-scale GPU infrastructure for high-throughput model inference and mid-training workloads.\n\n - Develop systems that power synthetic data generation and reinforcement learning pipelines at scale.\n\n - Build high-performance inference platforms capable of serving and evaluating models across thousands of GPUs.\n\n - Optimize throughput, latency, and GPU utilization for large language model inference and rollout workloads.\n\n - Build infrastructure that supports reinforcement learning pipelines, including large-scale rollout generation, evaluation, and policy improvement loops.\n\n - Work closely with research teams to support distributed RL workloads and large-scale model evaluation infrastructure.\n\n - Improve performance of model execution through kernel-level optimization, model parallelism strategies, and GPU runtime improvements.\n\n - Develop distributed systems that enable large-scale synthetic data generation and RL-driven training workflows.\n\n - Diagnose and resolve performance bottlenecks across inference runtimes, GPU kernels, networking, and distributed compute systems.\n \n\n\n\n\nIDEAL EXPERIENCE\n\n - Experience deploying and operating large-scale GPU systems for inference or model serving.\n\n - Several years of hands-on experience building and running production infrastructure.\n\n - Strong understanding of GPU performance characteristics and optimization techniques.\n\n - Experience working with modern inference frameworks such as SGLang, Megatron, or similar high-performance LLM runtimes.\n\n - Familiarity with distributed reinforcement learning infrastructure or rollout generation systems.\n\n - Experience optimizing throughput for large-scale model execution workloads.\n\n - Experience working with GPU kernels or low-level performance optimization.\n\n - Familiarity with infrastructure used for synthetic data pipelines or RL training workflows.\n\n - Experience debugging performance issues across GPU, networking, and distributed execution layers.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"5455860d-867a-4d3f-a811-34c00090f5b2","title":"Research Program Manager - Model Development","department":"Technical Program Management","team":"Research Program Management","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-04-30T22:25:25.578+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/5455860d-867a-4d3f-a811-34c00090f5b2","applyUrl":"https://jobs.ashbyhq.com/reflectionai/5455860d-867a-4d3f-a811-34c00090f5b2/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Research Program Managers at Reflection are high-leverage leaders and operators who embed directly with research and engineering teams to accelerate the pace of frontier model development. They are not project trackers. They are force multipliers who bring clarity to ambiguity, drive decisions when the path forward is unclear, and ensure that the work happening across multiple teams connects into a coherent whole.
This role is embedded directly within our Pre-training ML and Data teams, working alongside our Pre-training research leads at the core of how we build frontier models. You will be deeply involved in the research lifecycle, from data pipeline coordination and experiment planning to model architecture decisions and scaling strategies. Your job is to understand how our researchers work, identify the highest-leverage gaps, and build the programs, processes, and coordination structures that let them focus on pushing the frontier rather than navigating organizational complexity.
You bring a first-responder mentality. When things go sideways, you don't wait to be asked. You jump in, assess the situation, cut through noise, align the people who need to be aligned, and drive resolution.
Embed within the pre-training ML and Data teams to deeply understand the technical landscape, build trust with researchers and technical leads, and identify where programs and process can have the most impact on research velocity.
Drive end-to-end execution of complex, cross-team research initiatives that span data, model architecture, training runs, and evaluation, often without established playbooks.
Coordinate the operational rhythm of pre-training research, including experiment prioritization, run scheduling, data readiness, and checkpoint handoffs to downstream teams.
Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations rather than status updates.
Build lightweight processes that bring structure to unstructured research environments without adding friction. Create coordination mechanisms for cross-team handoffs, config management, and research milestones that replace ad hoc Slack threads with durable, visible systems.
Act as the connective tissue between pre-training, mid-training, post-training, and infrastructure teams, ensuring that upstream decisions propagate cleanly and downstream teams are never surprised.
7+ years of experience in technical program management, research operations, or ML engineering, with a track record of building programs from scratch in research or ML-heavy environments.
Deep enough technically to engage with researchers on topics like model architecture, scaling laws, data processing pipelines, training dynamics, and optimizer behavior. You don't need to run the experiments yourself, but you need to follow the reasoning and spot risks early in order to discuss tradeoffs.
Proven ability to embed within technical teams and earn trust through competence, reliability, and genuine curiosity about the work. Researchers want to work with you because you make them faster, not because the process says they have to.
Resourceful and high-agency. You navigate ambiguity and shifting priorities without losing momentum. You figure out what needs to happen and you make it happen.
Strong stakeholder management skills with the ability to influence senior technical staff through consistent delivery and well-informed judgment, not authority.
Comfortable in high-stakes environments where decisions impact model quality, compute spend, and training timelines measured in weeks or months.
Excited to build from zero to one. We are a small, fast-moving team and this role will help define how research program management works at Reflection.
Motivated by enabling researchers and engineers to build the world's most capable open-weight AI systems.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nResearch Program Managers at Reflection are high-leverage leaders and operators who embed directly with research and engineering teams to accelerate the pace of frontier model development. They are not project trackers. They are force multipliers who bring clarity to ambiguity, drive decisions when the path forward is unclear, and ensure that the work happening across multiple teams connects into a coherent whole.\n\nThis role is embedded directly within our Pre-training ML and Data teams, working alongside our Pre-training research leads at the core of how we build frontier models. You will be deeply involved in the research lifecycle, from data pipeline coordination and experiment planning to model architecture decisions and scaling strategies. Your job is to understand how our researchers work, identify the highest-leverage gaps, and build the programs, processes, and coordination structures that let them focus on pushing the frontier rather than navigating organizational complexity.\n\nYou bring a first-responder mentality. When things go sideways, you don't wait to be asked. You jump in, assess the situation, cut through noise, align the people who need to be aligned, and drive resolution.\n\n\n\n\nWHAT YOU'LL DO\n\n - Embed within the pre-training ML and Data teams to deeply understand the technical landscape, build trust with researchers and technical leads, and identify where programs and process can have the most impact on research velocity.\n\n - Drive end-to-end execution of complex, cross-team research initiatives that span data, model architecture, training runs, and evaluation, often without established playbooks.\n\n - Coordinate the operational rhythm of pre-training research, including experiment prioritization, run scheduling, data readiness, and checkpoint handoffs to downstream teams.\n\n - Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations rather than status updates.\n\n - Build lightweight processes that bring structure to unstructured research environments without adding friction. Create coordination mechanisms for cross-team handoffs, config management, and research milestones that replace ad hoc Slack threads with durable, visible systems.\n\n - Act as the connective tissue between pre-training, mid-training, post-training, and infrastructure teams, ensuring that upstream decisions propagate cleanly and downstream teams are never surprised.\n\n\nABOUT YOU\n\n - 7+ years of experience in technical program management, research operations, or ML engineering, with a track record of building programs from scratch in research or ML-heavy environments.\n\n - Deep enough technically to engage with researchers on topics like model architecture, scaling laws, data processing pipelines, training dynamics, and optimizer behavior. You don't need to run the experiments yourself, but you need to follow the reasoning and spot risks early in order to discuss tradeoffs.\n\n - Proven ability to embed within technical teams and earn trust through competence, reliability, and genuine curiosity about the work. Researchers want to work with you because you make them faster, not because the process says they have to.\n\n - Resourceful and high-agency. You navigate ambiguity and shifting priorities without losing momentum. You figure out what needs to happen and you make it happen.\n\n - Strong stakeholder management skills with the ability to influence senior technical staff through consistent delivery and well-informed judgment, not authority.\n\n - Comfortable in high-stakes environments where decisions impact model quality, compute spend, and training timelines measured in weeks or months.\n\n - Excited to build from zero to one. We are a small, fast-moving team and this role will help define how research program management works at Reflection.\n\n - Motivated by enabling researchers and engineers to build the world's most capable open-weight AI systems.\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"f3374b9a-459c-48d2-81c6-72cc5d750050","title":"Member of Technical Staff - Infrastructure Security","department":"Engineering","team":"Security","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-04-16T04:02:55.566+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/f3374b9a-459c-48d2-81c6-72cc5d750050","applyUrl":"https://jobs.ashbyhq.com/reflectionai/f3374b9a-459c-48d2-81c6-72cc5d750050/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection.AI is looking for a Member of Technical Staff - Infrastructure Security to secure our geographically diverse multi-cloud Kubernetes and cloud environments. In this role, you’ll be expected to jump head first into the hands-on engineering work of building infrastructure security controls from the ground up, outline a long term infrastructure security vision that ensures the security and integrity of our core technology, and define the roadmap that will fulfill your vision.
Audit and harden geographically disparate multi-cloud Kubernetes clusters
Unify and harden authentication across Kubernetes clusters
Design and implement centralized, auditable Kubernetes authorization policy enforcement
Automate monitoring and benchmarking of Kube cluster security posture
Develop defense-in-depth security boundaries around containerized workloads in Kubernetes clusters
Build and deploy automated tooling to support incident detection & response for Kubernetes clusters and containerized workloads
Deep experience securing Kubernetes clusters and hardening containerized workloads
Understanding of managed Kube cluster services such as GKE
Comfort working with CI/CD systems such as ArgoCD
Familiarity with Kubernetes orchestration systems such as Rancher and Helm
Experience hardening artifact repositories to ensure secure build artifact provenance spanning image builds, storage, and deployment
Comfort defining and implementing concrete security improvements based on nebulous or unclear security requirements
Experience working with infrastructure-as-code systems such as Terraform or Pulumi
Experience working with major cloud providers such as GCP, AWS, and/or Azure
Experience working with neocloud GPU providers such as VoltagePark, GMI Cloud, Crusoe, Anyscale, Together.ai, etc.
Experience coding with Python or Golang
Recent hands-on engineering experience
Proven track record of building infrastructure security controls from 0 to 1
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nReflection.AI http://Reflection.AI is looking for a Member of Technical Staff - Infrastructure Security to secure our geographically diverse multi-cloud Kubernetes and cloud environments. In this role, you’ll be expected to jump head first into the hands-on engineering work of building infrastructure security controls from the ground up, outline a long term infrastructure security vision that ensures the security and integrity of our core technology, and define the roadmap that will fulfill your vision.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Audit and harden geographically disparate multi-cloud Kubernetes clusters\n\n - Unify and harden authentication across Kubernetes clusters\n\n - Design and implement centralized, auditable Kubernetes authorization policy enforcement\n\n - Automate monitoring and benchmarking of Kube cluster security posture\n\n - Develop defense-in-depth security boundaries around containerized workloads in Kubernetes clusters\n\n - Build and deploy automated tooling to support incident detection & response for Kubernetes clusters and containerized workloads\n \n \n \n\n\nREQUIRED QUALIFICATIONS\n\n - Deep experience securing Kubernetes clusters and hardening containerized workloads\n\n - Understanding of managed Kube cluster services such as GKE\n\n - Comfort working with CI/CD systems such as ArgoCD\n\n - Familiarity with Kubernetes orchestration systems such as Rancher and Helm\n\n - Experience hardening artifact repositories to ensure secure build artifact provenance spanning image builds, storage, and deployment\n\n - Comfort defining and implementing concrete security improvements based on nebulous or unclear security requirements\n\n - Experience working with infrastructure-as-code systems such as Terraform or Pulumi\n\n - Experience working with major cloud providers such as GCP, AWS, and/or Azure\n\n - Experience working with neocloud GPU providers such as VoltagePark, GMI Cloud, Crusoe, Anyscale, Together.ai http://Together.ai, etc.\n\n - Experience coding with Python or Golang\n\n - Recent hands-on engineering experience\n\n - Proven track record of building infrastructure security controls from 0 to 1\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"e6499a5e-7936-4a67-ad17-49c5a4e50d1e","title":"Member of Technical Staff - IT Engineering","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-04-16T04:03:14.573+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/e6499a5e-7936-4a67-ad17-49c5a4e50d1e","applyUrl":"https://jobs.ashbyhq.com/reflectionai/e6499a5e-7936-4a67-ad17-49c5a4e50d1e/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection AI is looking for a Member of Technical Staff - IT Engineer. In this role, you’ll be expected to manage a broad range of operational, strategic, and project-based responsibilities with maximum autonomy and minimal oversight. You’ll be working across tier 1 and tier 2 support, defining IT requirements for new office space buildouts, identifying ways that we can improve processes and implement systems to improve the IT function across the board, and supporting the rollout of technical IT Security initiatives. This is an internal-customer-facing role in which you will be regularly supporting executives, executive assistants, engineers, and non-technical people with everyday IT problems.
Handle day-to-day operational IT requests
Define and implement systems and processes that will help the IT function operate more efficiently
Act as the on-prem IT lead at our New York headquarters
Provide white-glove operational support for executives
Facilitate rapid growth by providing a friendly onboarding experience for new employees
Assist with the design and deployment of IT systems such as MDM, SSO, and ticketing systems
Support IT Security initiatives, including hardware security key rollout and device posture attestation
Manage SaaS platforms and spend
Assist with the buildout of new offices by setting requirements and coordinating the installation of audio/visual, networking, and office security equipment
Recent experience with Tier 1 and Tier 2 IT support
Comfort working in a customer-facing role in which you are dealing with executives, executive assistants, engineers, and non-technical people
Ability to navigate complex, non-trivial problems with minimal support
Experience working with both macOS and Windows devices (Linux is a bonus)
Expertise in managing user provisioning through Rippling and Okta, including automating user onboarding and offboarding flows
Experience configuring and managing Okta as the primary SSO IdP, including integrating SaaS platforms with Okta SSO
Familiarity with MDM solutions such as Jamf, Kandji, or JumpCloud (FleetDM is a bonus)
Experience administering Google Workspace, Slack, Jira, and Linear
Strong technical depth and domain expertise, with the ability to communicate technical information clearly to various audiences
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nReflection AI is looking for a Member of Technical Staff - IT Engineer. In this role, you’ll be expected to manage a broad range of operational, strategic, and project-based responsibilities with maximum autonomy and minimal oversight. You’ll be working across tier 1 and tier 2 support, defining IT requirements for new office space buildouts, identifying ways that we can improve processes and implement systems to improve the IT function across the board, and supporting the rollout of technical IT Security initiatives. This is an internal-customer-facing role in which you will be regularly supporting executives, executive assistants, engineers, and non-technical people with everyday IT problems.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Handle day-to-day operational IT requests\n\n - Define and implement systems and processes that will help the IT function operate more efficiently\n\n - Act as the on-prem IT lead at our New York headquarters\n\n - Provide white-glove operational support for executives\n\n - Facilitate rapid growth by providing a friendly onboarding experience for new employees\n\n - Assist with the design and deployment of IT systems such as MDM, SSO, and ticketing systems\n\n - Support IT Security initiatives, including hardware security key rollout and device posture attestation\n\n - Manage SaaS platforms and spend\n\n - Assist with the buildout of new offices by setting requirements and coordinating the installation of audio/visual, networking, and office security equipment\n \n \n\n\nREQUIRED QUALIFICATIONS\n\n - Recent experience with Tier 1 and Tier 2 IT support\n\n - Comfort working in a customer-facing role in which you are dealing with executives, executive assistants, engineers, and non-technical people\n\n - Ability to navigate complex, non-trivial problems with minimal support\n\n - Experience working with both macOS and Windows devices (Linux is a bonus)\n\n - Expertise in managing user provisioning through Rippling and Okta, including automating user onboarding and offboarding flows\n\n - Experience configuring and managing Okta as the primary SSO IdP, including integrating SaaS platforms with Okta SSO\n\n - Familiarity with MDM solutions such as Jamf, Kandji, or JumpCloud (FleetDM is a bonus)\n\n - Experience administering Google Workspace, Slack, Jira, and Linear\n\n - Strong technical depth and domain expertise, with the ability to communicate technical information clearly to various audiences\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"a38f03ad-770c-4c53-be91-0d04171d8ead","title":"Member of Technical Staff - Security Engineer","department":"Engineering","team":"Security","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-04-30T15:09:08.250+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/a38f03ad-770c-4c53-be91-0d04171d8ead","applyUrl":"https://jobs.ashbyhq.com/reflectionai/a38f03ad-770c-4c53-be91-0d04171d8ead/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection.AI is looking for a Member of Technical Staff - Security Software Engineer to build our Application Security function from the ground up while contributing to a broad array of projects across the entire Security Engineering organization. You will have a high level of autonomy to architect solutions and drive them through both technical and organizational adversity. This role is ideal for an engineer who thrives in high-ownership, low-structure environments and has a strong \"0 to 1\" mindset.
Contribute engineering cycles to a broad array of key projects across the Security organization ranging from our agentic AI incident detection & response SOC to long-running internal AI agents
Implement security controls around AI agents, including sandboxes, identity, and authorization systems
Define software supply chain security strategy, tooling, and infrastructure including SCA/SBOM analysis
Roll out controls to rapidly ingest and act on emerging supply chain attacks
Develop and maintain a comprehensive threat model of our software stack
Drive our pentesting program with prioritization guided by your threat model
Define and socialize foundation secure coding practices and architecture patterns relevant to AI/ML systems
Integrate SAST tools into CI/CD pipelines for continuous vulnerability analysis
Define and implement a comprehensive Secure Software Development Lifecycle
Strong proficiency with Python or Golang
Track record of architecting and building complex software systems
Familiarity with common application logic exploit vectors
Experience implementing and rolling out cross-functional projects that impact many teams
AI-native engineering workflow
Experience working with Kubernetes
Experience working with AWS and/or GCP
A strong interest in growing in multiple sub-specialties within security, including infrastructure security, incident detection & response, and digital forensics
Willingness to flex into cross-functional projects across multiple pillars of Security as needed
Experience building programs from 0 to 1
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nReflection.AI http://Reflection.AI is looking for a Member of Technical Staff - Security Software Engineer to build our Application Security function from the ground up while contributing to a broad array of projects across the entire Security Engineering organization. You will have a high level of autonomy to architect solutions and drive them through both technical and organizational adversity. This role is ideal for an engineer who thrives in high-ownership, low-structure environments and has a strong \"0 to 1\" mindset.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Contribute engineering cycles to a broad array of key projects across the Security organization ranging from our agentic AI incident detection & response SOC to long-running internal AI agents\n\n - Implement security controls around AI agents, including sandboxes, identity, and authorization systems\n\n - Define software supply chain security strategy, tooling, and infrastructure including SCA/SBOM analysis\n\n - Roll out controls to rapidly ingest and act on emerging supply chain attacks\n\n - Develop and maintain a comprehensive threat model of our software stack\n\n - Drive our pentesting program with prioritization guided by your threat model\n\n - Define and socialize foundation secure coding practices and architecture patterns relevant to AI/ML systems\n\n - Integrate SAST tools into CI/CD pipelines for continuous vulnerability analysis\n\n - Define and implement a comprehensive Secure Software Development Lifecycle\n\n\n\n\nREQUIRED QUALIFICATIONS\n\n - Strong proficiency with Python or Golang\n\n - Track record of architecting and building complex software systems\n\n - Familiarity with common application logic exploit vectors\n\n - Experience implementing and rolling out cross-functional projects that impact many teams\n\n - AI-native engineering workflow\n\n - Experience working with Kubernetes\n\n - Experience working with AWS and/or GCP\n\n - A strong interest in growing in multiple sub-specialties within security, including infrastructure security, incident detection & response, and digital forensics\n\n - Willingness to flex into cross-functional projects across multiple pillars of Security as needed\n\n - Experience building programs from 0 to 1\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"659593ec-6cd2-4ae4-884b-9b31427662c6","title":"Research Program Manager - Model Evals and Safety","department":"Technical Program Management","team":"Research Program Management","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-04-30T21:54:43.209+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/659593ec-6cd2-4ae4-884b-9b31427662c6","applyUrl":"https://jobs.ashbyhq.com/reflectionai/659593ec-6cd2-4ae4-884b-9b31427662c6/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Research Program Managers at Reflection are high-leverage leaders and operators who embed directly with research and infrastructure teams to accelerate the pace of frontier model development. They are not project trackers. They are force multipliers who bring clarity to ambiguity, drive decisions when the path forward is unclear, and ensure that the work happening across multiple teams connects into a coherent whole.
This is a foundational role. Reflection is building model evals and safety from the ground up, and this RPM will be at the center of that effort. You won't be stepping into an established function with existing processes and tooling. You will be the person who figures out what this function needs to look like, stands it up, and makes it real. That means defining the evaluation frameworks, building the operational infrastructure for model safety, establishing the processes that connect evals to the model development lifecycle, and laying the groundwork for how Reflection interfaces with the broader safety ecosystem. This is 0-to-1 work in its purest form.
You bring a first-responder mentality. When things go sideways, you don't wait to be asked. You jump in, assess the situation, cut through noise, align the people who need to be aligned, and drive resolution.
Build the foundational infrastructure for model evals and safety at Reflection. Define the evaluation frameworks, tooling requirements, and operational processes that will underpin how we assess model capabilities, risks, and readiness for release.
Stand up model safety operations as a function, including establishing the workflows, review cadences, and decision frameworks that connect safety evaluation to the model development and release lifecycle.
Partner with research and engineering leads across pre-training, mid-training, and post-training to embed safety and evaluation checkpoints into the development process in a way that is rigorous without being a bottleneck.
Drive the scoping and prioritization of eval science and eval infrastructure investments, working with technical leads to determine what to build in-house, what to adopt, and where to invest research effort.
Establish Reflection's engagement with the external safety ecosystem, including third-party assessments, academic partnerships, and industry safety frameworks. Represent the company's safety posture to external stakeholders with credibility and clarity.
Create visibility and reporting structures that give leadership a clear, honest picture of model safety status, evaluation coverage, and open risks, so they can make informed decisions at the pace the business requires.
Champion a culture of blameless post-mortems and continuous learning, turning every safety-relevant finding into a concrete improvement to our systems and processes.
7+ years of experience in technical program management, research operations, or ML engineering, with demonstrated experience standing up new functions, teams, or programs from scratch.
Familiar with the landscape of model evaluation and AI safety, including evaluation methodologies, red-teaming, alignment research, and the evolving regulatory and industry safety ecosystem. You don't need to be a safety researcher, but you need to understand the space well enough to make sound judgments about what matters and what to prioritize.
Deep enough technically to engage with researchers and engineers on topics like model behavior, evaluation design, data pipelines, and safety-critical system architecture. You follow the technical thread and you know when something doesn't add up.
Proven ability to build structures where none exists. You've taken ambiguous mandates and turned them into functioning programs with clear ownership, measurable outcomes, and durable processes.
Strong stakeholder management skills spanning deeply technical ICs, research leadership, and external partners. You build trust through competence and follow-through.
Excited to build from zero to one. We are a small, fast-moving team and this role will help define how model safety and evaluation works at Reflection.
Motivated by enabling researchers and engineers to build the world's most capable open-weight AI systems, responsibly.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nResearch Program Managers at Reflection are high-leverage leaders and operators who embed directly with research and infrastructure teams to accelerate the pace of frontier model development. They are not project trackers. They are force multipliers who bring clarity to ambiguity, drive decisions when the path forward is unclear, and ensure that the work happening across multiple teams connects into a coherent whole.\n\nThis is a foundational role. Reflection is building model evals and safety from the ground up, and this RPM will be at the center of that effort. You won't be stepping into an established function with existing processes and tooling. You will be the person who figures out what this function needs to look like, stands it up, and makes it real. That means defining the evaluation frameworks, building the operational infrastructure for model safety, establishing the processes that connect evals to the model development lifecycle, and laying the groundwork for how Reflection interfaces with the broader safety ecosystem. This is 0-to-1 work in its purest form.\n\nYou bring a first-responder mentality. When things go sideways, you don't wait to be asked. You jump in, assess the situation, cut through noise, align the people who need to be aligned, and drive resolution.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build the foundational infrastructure for model evals and safety at Reflection. Define the evaluation frameworks, tooling requirements, and operational processes that will underpin how we assess model capabilities, risks, and readiness for release.\n\n - Stand up model safety operations as a function, including establishing the workflows, review cadences, and decision frameworks that connect safety evaluation to the model development and release lifecycle.\n\n - Partner with research and engineering leads across pre-training, mid-training, and post-training to embed safety and evaluation checkpoints into the development process in a way that is rigorous without being a bottleneck.\n\n - Drive the scoping and prioritization of eval science and eval infrastructure investments, working with technical leads to determine what to build in-house, what to adopt, and where to invest research effort.\n\n - Establish Reflection's engagement with the external safety ecosystem, including third-party assessments, academic partnerships, and industry safety frameworks. Represent the company's safety posture to external stakeholders with credibility and clarity.\n\n - Create visibility and reporting structures that give leadership a clear, honest picture of model safety status, evaluation coverage, and open risks, so they can make informed decisions at the pace the business requires.\n\n - Champion a culture of blameless post-mortems and continuous learning, turning every safety-relevant finding into a concrete improvement to our systems and processes.\n\n\nABOUT YOU\n\n - 7+ years of experience in technical program management, research operations, or ML engineering, with demonstrated experience standing up new functions, teams, or programs from scratch.\n\n - Familiar with the landscape of model evaluation and AI safety, including evaluation methodologies, red-teaming, alignment research, and the evolving regulatory and industry safety ecosystem. You don't need to be a safety researcher, but you need to understand the space well enough to make sound judgments about what matters and what to prioritize.\n\n - Deep enough technically to engage with researchers and engineers on topics like model behavior, evaluation design, data pipelines, and safety-critical system architecture. You follow the technical thread and you know when something doesn't add up.\n\n - Proven ability to build structures where none exists. You've taken ambiguous mandates and turned them into functioning programs with clear ownership, measurable outcomes, and durable processes.\n\n - Strong stakeholder management skills spanning deeply technical ICs, research leadership, and external partners. You build trust through competence and follow-through.\n\n - Excited to build from zero to one. We are a small, fast-moving team and this role will help define how model safety and evaluation works at Reflection.\n\n - Motivated by enabling researchers and engineers to build the world's most capable open-weight AI systems, responsibly.\n\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"f8e57b72-dafa-4bf3-9aae-e88c66e1e81e","title":"Research Program Manager - Research Infrastructure","department":"Technical Program Management","team":"Research Program Management","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-04-30T22:22:32.671+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/f8e57b72-dafa-4bf3-9aae-e88c66e1e81e","applyUrl":"https://jobs.ashbyhq.com/reflectionai/f8e57b72-dafa-4bf3-9aae-e88c66e1e81e/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Research Program Managers at Reflection are high-leverage leaders and operators who embed directly with research and infrastructure teams to accelerate the pace of frontier model development. They are not project trackers. They are force multipliers who bring clarity to ambiguity, drive decisions when the path forward is unclear, and ensure that the work happening across multiple teams connects into a coherent whole.
This role focuses on scaling our research infrastructure to support massive, frontier-scale training runs across pre-training, mid-training, and post-training. You will work closely with teams building on training libraries like Megatron, driving the programs that turn raw clusters into reliable, high-performance training environments. Your job is to make sure the infrastructure we build works end-to-end, that teams are unblocked, and that we can scale with confidence as our ambitions grow.
You bring a first-responder mentality. When things go sideways, you don't wait to be asked. You jump in, assess the situation, cut through noise, align the people who need to be aligned, and drive resolution.
Own cross-functional programs spanning training infrastructure and cluster reliability across pre-training, mid-training, and post-training workstreams.
Drive end-to-end coordination scaling our training stack alongside engineering leads and external partners.
Jump into active incidents and escalations to triage, coordinate response, and drive resolution across teams. Champion a culture of blameless post-mortems and continuous learning, turning every incident into a concrete improvement to our systems and processes.
Partner with infrastructure and research engineering leads to identify bottlenecks, define priorities, and ensure that infrastructure investments are directly tied to research velocity.
Build and maintain visibility into training run health, cluster reliability, and infrastructure performance so that leadership and teams have the context they need to make fast, informed decisions.
Create lightweight, durable processes for cross-team handoffs, config management, checkpoint workflows, and other coordination-heavy touchpoints that currently rely on ad hoc communication.
Translate technical complexity into clear status updates and decision frameworks for engineering leadership and executives.
7+ years of experience in technical program management, research operations, or infrastructure coordination, ideally in ML/AI or large-scale distributed systems environments.
Deep technical knowledge to engage with engineers on topics like distributed training frameworks, GPU cluster architecture, scheduler behavior, networking, and storage systems. You don't need to write the code, but you need to understand the systems to “speak the language”, i.e., to ask the right questions and identify risks early.
Proven ability to operate effectively in high-ambiguity, fast-moving environments. You create structure where there is none and drive clarity without waiting for permission.
Track record of managing complex, multi-team programs with competing priorities and hard deadlines. You know how to make tradeoffs and you communicate them clearly.
Strong stakeholder management skills across both deeply technical ICs and senior leadership. You build trust by being reliable, direct, and well-informed.
Comfortable operating in crisis mode. You stay calm under pressure, you know how to prioritize when everything is on fire, and you follow through on the other side.
Excited to build from zero to one. We are a small, fast-moving team and this role will help define how Research Program management Works at Reflection.
Motivated by enabling researchers and engineers to build the world's most capable open-weight AI systems.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nResearch Program Managers at Reflection are high-leverage leaders and operators who embed directly with research and infrastructure teams to accelerate the pace of frontier model development. They are not project trackers. They are force multipliers who bring clarity to ambiguity, drive decisions when the path forward is unclear, and ensure that the work happening across multiple teams connects into a coherent whole.\n\nThis role focuses on scaling our research infrastructure to support massive, frontier-scale training runs across pre-training, mid-training, and post-training. You will work closely with teams building on training libraries like Megatron, driving the programs that turn raw clusters into reliable, high-performance training environments. Your job is to make sure the infrastructure we build works end-to-end, that teams are unblocked, and that we can scale with confidence as our ambitions grow.\n\nYou bring a first-responder mentality. When things go sideways, you don't wait to be asked. You jump in, assess the situation, cut through noise, align the people who need to be aligned, and drive resolution.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own cross-functional programs spanning training infrastructure and cluster reliability across pre-training, mid-training, and post-training workstreams.\n\n - Drive end-to-end coordination scaling our training stack alongside engineering leads and external partners.\n\n - Jump into active incidents and escalations to triage, coordinate response, and drive resolution across teams. Champion a culture of blameless post-mortems and continuous learning, turning every incident into a concrete improvement to our systems and processes.\n\n - Partner with infrastructure and research engineering leads to identify bottlenecks, define priorities, and ensure that infrastructure investments are directly tied to research velocity.\n\n - Build and maintain visibility into training run health, cluster reliability, and infrastructure performance so that leadership and teams have the context they need to make fast, informed decisions.\n\n - Create lightweight, durable processes for cross-team handoffs, config management, checkpoint workflows, and other coordination-heavy touchpoints that currently rely on ad hoc communication.\n\n - Translate technical complexity into clear status updates and decision frameworks for engineering leadership and executives.\n\n\nABOUT YOU\n\n - 7+ years of experience in technical program management, research operations, or infrastructure coordination, ideally in ML/AI or large-scale distributed systems environments.\n\n - Deep technical knowledge to engage with engineers on topics like distributed training frameworks, GPU cluster architecture, scheduler behavior, networking, and storage systems. You don't need to write the code, but you need to understand the systems to “speak the language”, i.e., to ask the right questions and identify risks early.\n\n - Proven ability to operate effectively in high-ambiguity, fast-moving environments. You create structure where there is none and drive clarity without waiting for permission.\n\n - Track record of managing complex, multi-team programs with competing priorities and hard deadlines. You know how to make tradeoffs and you communicate them clearly.\n\n - Strong stakeholder management skills across both deeply technical ICs and senior leadership. You build trust by being reliable, direct, and well-informed.\n\n - Comfortable operating in crisis mode. You stay calm under pressure, you know how to prioritize when everything is on fire, and you follow through on the other side.\n\n - Excited to build from zero to one. We are a small, fast-moving team and this role will help define how Research Program management Works at Reflection.\n\n - Motivated by enabling researchers and engineers to build the world's most capable open-weight AI systems.\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"56fbaa8a-63c7-44c2-8f29-c70e5a5a662e","title":"Forward Deployed Engineer, Lead - AI Engineer","department":"Commercial","team":"Applied AI","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-05-12T13:49:23.131+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/56fbaa8a-63c7-44c2-8f29-c70e5a5a662e","applyUrl":"https://jobs.ashbyhq.com/reflectionai/56fbaa8a-63c7-44c2-8f29-c70e5a5a662e/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
We’re seeking an exceptional technical lead to build and scale Reflection’s Forward Deployed Engineering function within the AI Solutions team. This team plays a critical role in bridging our cutting-edge AI research with real-world enterprise deployments. As a Forward Deployed Engineer Lead, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.
Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.
Architect and build complex agentic systems using state-of-the-art models, orchestrating sophisticated LLM workflows and integrating deeply with enterprise infrastructure.
Collaborate with research teams to adapt and fine-tune models for customer-specific needs, contributing to our internal codebase for inference, fine-tuning, and evaluation.
Own end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), ensuring production-grade scalability, performance, and reliability.
Shape and scale the Forward Deployed Engineering organization by defining playbooks, best practices, technical standards, and mentorship to support team growth.
Strong software engineering background with experience shipping production-grade systems (Python, Typescript)
Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).
Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.
6+ years of software engineering experience, including 2+ years in a technical leadership capacity delivering AI-driven enterprise solutions (e.g., Lead Forward Deployed Engineer, Tech Lead, or Engineering Manager).
Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.
Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nWe’re seeking an exceptional technical lead to build and scale Reflection’s Forward Deployed Engineering function within the AI Solutions team. This team plays a critical role in bridging our cutting-edge AI research with real-world enterprise deployments. As a Forward Deployed Engineer Lead, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.\n\n\n\n\nWHAT YOU'LL DO\n\n - Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.\n\n - Architect and build complex agentic systems using state-of-the-art models, orchestrating sophisticated LLM workflows and integrating deeply with enterprise infrastructure.\n\n - Collaborate with research teams to adapt and fine-tune models for customer-specific needs, contributing to our internal codebase for inference, fine-tuning, and evaluation.\n\n - Own end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), ensuring production-grade scalability, performance, and reliability.\n\n - Shape and scale the Forward Deployed Engineering organization by defining playbooks, best practices, technical standards, and mentorship to support team growth.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Strong software engineering background with experience shipping production-grade systems (Python, Typescript)\n\n - Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).\n\n - Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.\n\n - 6+ years of software engineering experience, including 2+ years in a technical leadership capacity delivering AI-driven enterprise solutions (e.g., Lead Forward Deployed Engineer, Tech Lead, or Engineering Manager).\n\n - Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.\n\n - Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"dd1d7c8c-69fe-4479-8385-076e5703d7bf","title":"Talent Management ","department":"People","team":"Talent Management","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-08-12T23:31:25.457+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/dd1d7c8c-69fe-4479-8385-076e5703d7bf","applyUrl":"https://jobs.ashbyhq.com/reflectionai/dd1d7c8c-69fe-4479-8385-076e5703d7bf/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection is building at the frontier, which means the bar for talent is exceptionally high — and keeping that bar requires the right systems. We're looking for a Talent Management Lead to own how we evaluate, develop, and advance our people. You'll design and run performance cycles, build the frameworks managers use to make calibration and promotion decisions, and create the career architecture that helps our team grow. This isn't a program maintenance role — it's a builders role. You'll work closely with People and Compensation leadership to ensure our talent infrastructure is rigorous, fair, and scales with the company. If you've built performance and career systems from scratch at a high-growth company and know what great looks like, we want to talk.
Own the design, implementation, and operation of the company's performance management programs and review cycles.
Develop and evolve performance frameworks, rating methodologies, and evaluation processes.
Lead end-to-end performance cycles, including planning, communications, training, execution, calibration, and reporting.
Design and facilitate calibration sessions with managers and leadership teams.
Partner with Compensation and People leadership on performance outcomes, job architecture, promotion frameworks, and talent decisions.
Own promotion cycle design, governance, and execution.
Develop career progression frameworks and support leveling and role architecture initiatives.
Build and manage internal mobility processes and career development programs.
Create and deliver manager training on performance management, feedback, promotions, and career development.
Analyze talent outcomes and identify trends related to performance, promotions, retention, and organizational health.
Develop reporting and insights for leadership to support talent and workforce planning decisions.
Continuously improve talent programs to ensure they remain scalable, fair, and aligned with business needs.
7–10+ years of experience in Talent Management, Performance Management, Organizational Development, or a related People function.
Experience designing and operating company-wide performance management programs.
Experience leading calibration processes and facilitating talent discussions with senior leaders.
Strong understanding of performance frameworks, promotion processes, and career architecture.
Experience partnering closely with Compensation teams on ratings, promotions, rewards, and talent outcomes.
Strong analytical skills and ability to interpret talent data and organizational trends.
Exceptional stakeholder management and executive communication skills.
Experience developing manager enablement and training programs.
Ability to influence senior leaders and drive alignment across functions.
Comfortable operating in a high-growth, rapidly evolving environment.
Experience building talent management programs from the ground up.
Experience supporting technical populations, including researchers, engineers, and product teams.
Experience with job architecture, leveling frameworks, and competency models.
Experience supporting organizations through rapid scaling and organizational change.
Familiarity with talent management and performance management systems.
Experience integrating performance, promotion, and compensation programs into a cohesive talent strategy.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nReflection is building at the frontier, which means the bar for talent is exceptionally high — and keeping that bar requires the right systems. We're looking for a Talent Management Lead to own how we evaluate, develop, and advance our people. You'll design and run performance cycles, build the frameworks managers use to make calibration and promotion decisions, and create the career architecture that helps our team grow. This isn't a program maintenance role — it's a builders role. You'll work closely with People and Compensation leadership to ensure our talent infrastructure is rigorous, fair, and scales with the company. If you've built performance and career systems from scratch at a high-growth company and know what great looks like, we want to talk.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own the design, implementation, and operation of the company's performance management programs and review cycles.\n\n - Develop and evolve performance frameworks, rating methodologies, and evaluation processes.\n\n - Lead end-to-end performance cycles, including planning, communications, training, execution, calibration, and reporting.\n\n - Design and facilitate calibration sessions with managers and leadership teams.\n\n - Partner with Compensation and People leadership on performance outcomes, job architecture, promotion frameworks, and talent decisions.\n\n - Own promotion cycle design, governance, and execution.\n\n - Develop career progression frameworks and support leveling and role architecture initiatives.\n\n - Build and manage internal mobility processes and career development programs.\n\n - Create and deliver manager training on performance management, feedback, promotions, and career development.\n\n - Analyze talent outcomes and identify trends related to performance, promotions, retention, and organizational health.\n\n - Develop reporting and insights for leadership to support talent and workforce planning decisions.\n\n - Continuously improve talent programs to ensure they remain scalable, fair, and aligned with business needs.\n \n \n\n\nWHAT WE’RE LOOKING FOR\n\n - 7–10+ years of experience in Talent Management, Performance Management, Organizational Development, or a related People function.\n\n - Experience designing and operating company-wide performance management programs.\n\n - Experience leading calibration processes and facilitating talent discussions with senior leaders.\n\n - Strong understanding of performance frameworks, promotion processes, and career architecture.\n\n - Experience partnering closely with Compensation teams on ratings, promotions, rewards, and talent outcomes.\n\n - Strong analytical skills and ability to interpret talent data and organizational trends.\n\n - Exceptional stakeholder management and executive communication skills.\n\n - Experience developing manager enablement and training programs.\n\n - Ability to influence senior leaders and drive alignment across functions.\n\n - Comfortable operating in a high-growth, rapidly evolving environment.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience building talent management programs from the ground up.\n\n - Experience supporting technical populations, including researchers, engineers, and product teams.\n\n - Experience with job architecture, leveling frameworks, and competency models.\n\n - Experience supporting organizations through rapid scaling and organizational change.\n\n - Familiarity with talent management and performance management systems.\n\n - Experience integrating performance, promotion, and compensation programs into a cohesive talent strategy.\n \n \n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"34943540-5e11-48e3-9812-3046b7c6604c","title":"Controller","department":"Finance","team":"Finance","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-06-04T19:44:51.552+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/34943540-5e11-48e3-9812-3046b7c6604c","applyUrl":"https://jobs.ashbyhq.com/reflectionai/34943540-5e11-48e3-9812-3046b7c6604c/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
As Controller, you’ll build the accounting function from the ground up. You own the close, technical accounting, financial reporting, and the internal controls that make all of it trustworthy. You’ll navigate complex deal structures across sovereign and enterprise contracts, manage the external audit relationship, and oversee equity accounting as our programs scale. You’ll own tax compliance and strategy, partner with legal and finance on entity structure, and build the accounting and tax teams beneath you. This role reports to the VP of Finance.
Own the month-end and quarter-end close — accuracy, timeliness, and improving both
Lead all technical accounting determinations: revenue recognition, equity, leases, and novel deal structures
Own global tax strategy, planning, and compliance — federal, state, and international
Manage the external audit relationship end-to-end; own the audit timeline and deliverables
Build and maintain internal controls and financial reporting infrastructure
Partner with legal on entity structure and transfer pricing
Oversee AP, AR, payroll, and treasury operations
Build the accounting and tax teams beneath you
7-10+ years of relevant finance and accounting experience
CPA required; Big 4 background strongly preferred
Deep technical accounting expertise — ASC 606, ASC 718, ASC 842, ASC 360 and the judgment to handle what's not in the textbook
Experience owning a close process and an audit at a high-growth technology company
Demonstrated ability to build an accounting function from scratch, including team, systems, and processes
Comfortable navigating ambiguity in deal structures and translating complexity into clear accounting positions
Strong technical foundation in federal and international tax, with exposure to multi-entity or multinational structures
International experience, including transfer pricing and cross-border operations
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nAs Controller, you’ll build the accounting function from the ground up. You own the close, technical accounting, financial reporting, and the internal controls that make all of it trustworthy. You’ll navigate complex deal structures across sovereign and enterprise contracts, manage the external audit relationship, and oversee equity accounting as our programs scale. You’ll own tax compliance and strategy, partner with legal and finance on entity structure, and build the accounting and tax teams beneath you. This role reports to the VP of Finance.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the month-end and quarter-end close — accuracy, timeliness, and improving both\n\n - Lead all technical accounting determinations: revenue recognition, equity, leases, and novel deal structures\n\n - Own global tax strategy, planning, and compliance — federal, state, and international\n\n - Manage the external audit relationship end-to-end; own the audit timeline and deliverables\n\n - Build and maintain internal controls and financial reporting infrastructure\n\n - Partner with legal on entity structure and transfer pricing\n\n - Oversee AP, AR, payroll, and treasury operations\n\n - Build the accounting and tax teams beneath you\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 7-10+ years of relevant finance and accounting experience\n\n - CPA required; Big 4 background strongly preferred\n\n - Deep technical accounting expertise — ASC 606, ASC 718, ASC 842, ASC 360 and the judgment to handle what's not in the textbook\n\n - Experience owning a close process and an audit at a high-growth technology company\n\n - Demonstrated ability to build an accounting function from scratch, including team, systems, and processes\n\n - Comfortable navigating ambiguity in deal structures and translating complexity into clear accounting positions\n\n - Strong technical foundation in federal and international tax, with exposure to multi-entity or multinational structures\n\n - International experience, including transfer pricing and cross-border operations\n \n \n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"55b38a39-7bfb-4052-a4d5-bca3e9626fd9","title":"Forward Deployed Engineer, Lead - AI Engineer","department":"Commercial","team":"Applied AI","employmentType":"FullTime","location":"Seoul","secondaryLocations":[],"publishedAt":"2026-06-09T17:21:50.970+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Seoul Capital Area","addressCountry":"South Korea","addressLocality":"Seoul"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/55b38a39-7bfb-4052-a4d5-bca3e9626fd9","applyUrl":"https://jobs.ashbyhq.com/reflectionai/55b38a39-7bfb-4052-a4d5-bca3e9626fd9/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
We’re seeking an exceptional technical lead to build and scale Reflection’s Forward Deployed Engineering function within the AI Solutions team. This team plays a critical role in bridging our cutting-edge AI research with real-world enterprise deployments. As a Forward Deployed Engineer Lead, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.
Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.
Architect and build complex agentic systems using state-of-the-art models, orchestrating sophisticated LLM workflows and integrating deeply with enterprise infrastructure.
Collaborate with research teams to adapt and fine-tune models for customer-specific needs, contributing to our internal codebase for inference, fine-tuning, and evaluation.
Own end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), ensuring production-grade scalability, performance, and reliability.
Shape and scale the Forward Deployed Engineering organization by defining playbooks, best practices, technical standards, and mentorship to support team growth.
Strong software engineering background with experience shipping production-grade systems (Python, Typescript)
Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).
Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.
6+ years of software engineering experience, including 2+ years in a technical leadership capacity delivering AI-driven enterprise solutions (e.g., Lead Forward Deployed Engineer, Tech Lead, or Engineering Manager).
Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.
Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nWe’re seeking an exceptional technical lead to build and scale Reflection’s Forward Deployed Engineering function within the AI Solutions team. This team plays a critical role in bridging our cutting-edge AI research with real-world enterprise deployments. As a Forward Deployed Engineer Lead, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.\n\n\n\n\nWHAT YOU'LL DO\n\n - Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.\n\n - Architect and build complex agentic systems using state-of-the-art models, orchestrating sophisticated LLM workflows and integrating deeply with enterprise infrastructure.\n\n - Collaborate with research teams to adapt and fine-tune models for customer-specific needs, contributing to our internal codebase for inference, fine-tuning, and evaluation.\n\n - Own end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), ensuring production-grade scalability, performance, and reliability.\n\n - Shape and scale the Forward Deployed Engineering organization by defining playbooks, best practices, technical standards, and mentorship to support team growth.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Strong software engineering background with experience shipping production-grade systems (Python, Typescript)\n\n - Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).\n\n - Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.\n\n - 6+ years of software engineering experience, including 2+ years in a technical leadership capacity delivering AI-driven enterprise solutions (e.g., Lead Forward Deployed Engineer, Tech Lead, or Engineering Manager).\n\n - Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.\n\n - Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"1bbe2915-d37d-42ea-a7d9-f72adfc21e17","title":"Forward Deployed Engineer - AI Engineer","department":"Commercial","team":"Applied AI","employmentType":"FullTime","location":"Seoul","secondaryLocations":[],"publishedAt":"2026-06-09T17:21:37.076+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Seoul Capital Area","addressCountry":"South Korea","addressLocality":"Seoul"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/1bbe2915-d37d-42ea-a7d9-f72adfc21e17","applyUrl":"https://jobs.ashbyhq.com/reflectionai/1bbe2915-d37d-42ea-a7d9-f72adfc21e17/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
We’re looking for a core member of Reflection’s Applied AI team to drive our Forward Deployed Engineering efforts with enterprise customers. This team works hands-on to translate advanced AI research into high-impact, real-world applications. As a Forward Deployed Engineer, you will own the technical strategy and delivery of agentic systems from initial customer discovery through production launch.
Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.
Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.
Collaborate with research teams to adapt and fine-tune models for customer-specific needs.
Support end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), helping ensure scalability, performance, and reliability in production.
Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization.
Strong software engineering background with experience shipping production-grade systems (Python, Typescript)
Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).
Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.
3+ years of software engineering experience delivering AI-driven enterprise solutions (e.g., Forward Deployed Engineer, Software Engineer, or Applied AI Engineer).
Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.
Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nWe’re looking for a core member of Reflection’s Applied AI team to drive our Forward Deployed Engineering efforts with enterprise customers. This team works hands-on to translate advanced AI research into high-impact, real-world applications. As a Forward Deployed Engineer, you will own the technical strategy and delivery of agentic systems from initial customer discovery through production launch.\n\n\n\n\nWHAT YOU'LL DO\n\n - Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.\n\n - Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.\n\n - Collaborate with research teams to adapt and fine-tune models for customer-specific needs.\n\n - Support end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), helping ensure scalability, performance, and reliability in production.\n\n - Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Strong software engineering background with experience shipping production-grade systems (Python, Typescript)\n\n - Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).\n\n - Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.\n\n - 3+ years of software engineering experience delivering AI-driven enterprise solutions (e.g., Forward Deployed Engineer, Software Engineer, or Applied AI Engineer).\n\n - Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.\n\n - Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"578cd3af-5805-44f6-b081-e3c1c7109261","title":"Technical Community & Programs Lead","department":"Corporate Affairs","team":"Corporate Affairs","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-10T23:18:45.814+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/578cd3af-5805-44f6-b081-e3c1c7109261","applyUrl":"https://jobs.ashbyhq.com/reflectionai/578cd3af-5805-44f6-b081-e3c1c7109261/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection is building open-weight AI systems that researchers, developers, and enterprises are looking to as the foundational intelligence layer for their technology. Researchers and developers are our earliest adopters, our most credible validators, and a core distribution channel through which frontier AI reaches the world. We are hiring a Technical Community & Programs Lead to build and own Reflection's presence within the communities that matter most: researchers, developers, and the builders who will shape what the open source AI ecosystem becomes.
We are looking for someone who has a deep background in this world already, a point of view on what's worth attending and what's worth building, and can represent Reflection with the kind of authenticity that comes from being a passionate, active participant in the AI community.
Cultivate Reflection’s presence with developer and research communities
Foster and maintain trusted relationships with the researchers, engineers, and community figures who shape opinion and direction in open AI development.
Represent Reflection externally and build alongside the community, creating demos, tutorials, and contributing to the open source ecosystem.
Help build our presence in the developer and research spaces where real technical discourse happens – including at industry and hosted events, on X, YouTube, and Hugging Face, etc. – as a credible, distinct voice with a perspective.
Identify and engage the tastemakers, contributors, and builders who are doing interesting work with open models, and help Reflection show up as a genuine collaborator.
Build and oversee our community programs and event strategy
Own ambassador and developer programs end-to-end: strategy, structure, recruiting, activation, and ongoing relationship management.
Develop the community content and channel strategy that gives developers and researchers a reason to engage with Reflection beyond launches. This includes tutorials, discussions, technical explainers, community spotlights.
Build and manage university and researcher partnership programs that give Reflection a presence in the institutions training the next generation of AI builders.
Help organize and run hackathons, meetups, and webinars that developers and researchers actually want to attend.
Partner closely with Comms and GTM
Partner closely with Communications, Product, Research, Go-To-Market teams in developing the strategy and content for social, events, launches, and more.
Build the operational infrastructure that ties our external community programming together: timelines, logistics, partner coordination, and follow-through.
Bring community signal back to our team to shape how Reflection builds and communicates with customers, partners, and the broader AI ecosystem.
Someone who is genuinely embedded in the developer and research community. You stay close to – and are part of – the conversations, trends, events, and programming that developers and researchers engage with. You have your own presence, your own relationships, and your own read on what's interesting and what's noise. Having a personal brand or meaningful community presence in the AI, ML, or developer ecosystem is a big plus.
Experience running community programs, developer relations, or technical marketing at an AI company, open-source project, or developer-focused technology company.
The operational rigor and attention to detail to own an events calendar and programs portfolio in a fast-moving environment––and the technical writing chops to produce content that earns attention in technical communities.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nReflection is building open-weight AI systems that researchers, developers, and enterprises are looking to as the foundational intelligence layer for their technology. Researchers and developers are our earliest adopters, our most credible validators, and a core distribution channel through which frontier AI reaches the world. We are hiring a Technical Community & Programs Lead to build and own Reflection's presence within the communities that matter most: researchers, developers, and the builders who will shape what the open source AI ecosystem becomes.\n\n\n\nWe are looking for someone who has a deep background in this world already, a point of view on what's worth attending and what's worth building, and can represent Reflection with the kind of authenticity that comes from being a passionate, active participant in the AI community.\n\n\n\n\nWHAT YOU'LL DO\n\nCultivate Reflection’s presence with developer and research communities\n\n - Foster and maintain trusted relationships with the researchers, engineers, and community figures who shape opinion and direction in open AI development.\n\n - Represent Reflection externally and build alongside the community, creating demos, tutorials, and contributing to the open source ecosystem.\n\n - Help build our presence in the developer and research spaces where real technical discourse happens – including at industry and hosted events, on X, YouTube, and Hugging Face, etc. – as a credible, distinct voice with a perspective.\n\n - Identify and engage the tastemakers, contributors, and builders who are doing interesting work with open models, and help Reflection show up as a genuine collaborator.\n\nBuild and oversee our community programs and event strategy\n\n - Own ambassador and developer programs end-to-end: strategy, structure, recruiting, activation, and ongoing relationship management.\n\n - Develop the community content and channel strategy that gives developers and researchers a reason to engage with Reflection beyond launches. This includes tutorials, discussions, technical explainers, community spotlights.\n\n - Build and manage university and researcher partnership programs that give Reflection a presence in the institutions training the next generation of AI builders.\n\n - Help organize and run hackathons, meetups, and webinars that developers and researchers actually want to attend.\n\nPartner closely with Comms and GTM\n\n - Partner closely with Communications, Product, Research, Go-To-Market teams in developing the strategy and content for social, events, launches, and more.\n\n - Build the operational infrastructure that ties our external community programming together: timelines, logistics, partner coordination, and follow-through.\n\n - Bring community signal back to our team to shape how Reflection builds and communicates with customers, partners, and the broader AI ecosystem.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Someone who is genuinely embedded in the developer and research community. You stay close to – and are part of – the conversations, trends, events, and programming that developers and researchers engage with. You have your own presence, your own relationships, and your own read on what's interesting and what's noise. Having a personal brand or meaningful community presence in the AI, ML, or developer ecosystem is a big plus.\n\n - Experience running community programs, developer relations, or technical marketing at an AI company, open-source project, or developer-focused technology company.\n\n - The operational rigor and attention to detail to own an events calendar and programs portfolio in a fast-moving environment––and the technical writing chops to produce content that earns attention in technical communities.\n \n \n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"fa2ef5b7-7676-4ec4-b8a2-684ed7dfaea2","title":"Engagement Manager","department":"Commercial","team":"Applied AI","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-06-15T17:50:49.057+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/fa2ef5b7-7676-4ec4-b8a2-684ed7dfaea2","applyUrl":"https://jobs.ashbyhq.com/reflectionai/fa2ef5b7-7676-4ec4-b8a2-684ed7dfaea2/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
We're looking for an exceptional Engagement Manager to drive the adoption of Reflection’s technology across enterprises. You will own the end-to-end AI deployment lifecycle, from identifying high-value use cases to driving organizational change and scaled adoption. This role blends strategic advisory with hands-on deployment leadership, working closely with Account Executives, Solutions Architects, and Forward Deployed Engineers to deliver measurable business outcomes. The ideal candidate is commercially sharp, AI-fluent, and energized by bringing structure to fast-moving, ambiguous environments.
Support technical discovery sessions to understand customer requirements. Work alongside Solutions Architects and Forward Deployed Engineers to structure strategic engagements, drafting Statements of Work (SOWs) that outline scope, milestones, and success criteria.
Enable Forward Deployed Engineers during project delivery by navigating organizational complexity and facilitating access to customer subject-matter experts, systems, and data.
Manage customer relationships by maintaining a regular cadence with executive sponsors and technical leads, while surfacing issues and celebrating wins.
Lead delivery operations, including sprint ceremonies, milestone reviews, and progress reporting. Translate technical complexity into executive-level updates.
Support technical discovery sessions to understand customer requirements and inform engagement design.
Support enterprise on-boarding processes by coordinating Reflection's teams to manage security reviews, legal approvals, and procurement processes with account executives.
Manage scope and change requests, setting clear expectations and negotiating contract modifications when necessary.
Capture customer feedback to inform our research and product development priorities.
5+ years of experience in roles such as Engagement Manager, Technical Program Manager, or Deployment Strategist within consulting, technology, or enterprise software.
A proven track record of delivering complex technical projects to large enterprise customers.
High technical acumen with a solid understanding of AI/ML concepts, software architecture, and enterprise systems.
Exceptional stakeholder management skills with experience navigating large organizations.
You are energized by ambiguity and have the ability to drive organizational change, guiding customers from initial concept to full-scale adoption.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\nROLE OVERVIEW\n\nWe're looking for an exceptional Engagement Manager to drive the adoption of Reflection’s technology across enterprises. You will own the end-to-end AI deployment lifecycle, from identifying high-value use cases to driving organizational change and scaled adoption. This role blends strategic advisory with hands-on deployment leadership, working closely with Account Executives, Solutions Architects, and Forward Deployed Engineers to deliver measurable business outcomes. The ideal candidate is commercially sharp, AI-fluent, and energized by bringing structure to fast-moving, ambiguous environments.\n\n\n\n\nWHAT YOU'LL DO\n\n - Support technical discovery sessions to understand customer requirements. Work alongside Solutions Architects and Forward Deployed Engineers to structure strategic engagements, drafting Statements of Work (SOWs) that outline scope, milestones, and success criteria.\n\n - Enable Forward Deployed Engineers during project delivery by navigating organizational complexity and facilitating access to customer subject-matter experts, systems, and data.\n\n - Manage customer relationships by maintaining a regular cadence with executive sponsors and technical leads, while surfacing issues and celebrating wins.\n\n - Lead delivery operations, including sprint ceremonies, milestone reviews, and progress reporting. Translate technical complexity into executive-level updates.\n\n - Support technical discovery sessions to understand customer requirements and inform engagement design.\n\n - Support enterprise on-boarding processes by coordinating Reflection's teams to manage security reviews, legal approvals, and procurement processes with account executives.\n\n - Manage scope and change requests, setting clear expectations and negotiating contract modifications when necessary.\n\n - Capture customer feedback to inform our research and product development priorities.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of experience in roles such as Engagement Manager, Technical Program Manager, or Deployment Strategist within consulting, technology, or enterprise software.\n\n - A proven track record of delivering complex technical projects to large enterprise customers.\n\n - High technical acumen with a solid understanding of AI/ML concepts, software architecture, and enterprise systems.\n\n - Exceptional stakeholder management skills with experience navigating large organizations.\n\n - You are energized by ambiguity and have the ability to drive organizational change, guiding customers from initial concept to full-scale adoption.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"ee258570-a3f9-4276-9bf4-35b2b70dbc61","title":"Member of Technical Staff - Web Crawl Engineer","department":"Research","team":"Data Acquisition","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-19T09:42:20.409+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/ee258570-a3f9-4276-9bf4-35b2b70dbc61","applyUrl":"https://jobs.ashbyhq.com/reflectionai/ee258570-a3f9-4276-9bf4-35b2b70dbc61/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
The web is one of the most important sources of information for frontier AI systems. The quality, coverage, freshness, and diversity of web data directly influence model capabilities.
As a member of the Data Team, your mission is to build and operate large-scale web crawling systems that continuously discover, acquire, and process content from across the internet. You will own the infrastructure that powers web-scale data collection, from URL discovery and scheduling to distributed crawling, content extraction, and dataset delivery.
You will work directly with world-class researchers to understand which parts of the web matter most for model performance and build systems that efficiently acquire high-value content at scale.
This role is ideal for engineers who love building distributed systems, optimizing large-scale crawlers, and solving the unique technical challenges of collecting data from the modern web.
Working closely with our pre-training, infrastructure, and data quality teams, you will:
Build and operate web-scale crawling infrastructure capable of continuously collecting data across billions of URLs
Design and optimize URL discovery, prioritization, scheduling, and crawl orchestration systems
Develop distributed crawlers that efficiently acquire content while respecting site constraints and operational requirements
Build systems for content extraction, rendering, parsing, and normalization across diverse web formats
Improve crawl coverage, freshness, efficiency, and quality through measurement and experimentation
Design infrastructure for large-scale recrawling, change detection, and incremental updates
Develop specialized crawlers for high-value domains, dynamic websites, and difficult-to-access content sources
Analyze crawl performance and web coverage to identify gaps, inefficiencies, and opportunities for improvement
Build observability, monitoring, and reliability systems for large-scale crawl operations
Debug production issues and continuously improve the performance, scalability, and resilience of crawling infrastructure
Passionate about web-scale systems and the challenges of collecting information from the internet
Curious about how web data influences model capabilities and willing to iterate based on downstream results
Comfortable balancing crawl quality, coverage, freshness, and operational efficiency
Enjoy working at the intersection of distributed systems, data infrastructure, and AI
Able to collaborate closely with researchers, infrastructure engineers, and data quality teams
Experience building large-scale web crawling, search indexing, content acquisition, or internet-scale data collection systems
Strong understanding of crawling architectures, URL frontier management, scheduling, and distributed crawl coordination
Experience with large-scale distributed systems using technologies such as Ray, Spark, Beam, Flink, or similar frameworks
Familiarity with content extraction, HTML parsing, browser automation, rendering systems, and modern web technologies
Experience operating systems that process petabyte-scale datasets
Strong systems engineering skills, including reliability, observability, performance optimization, and debugging
Experience designing experiments and using data to improve crawl quality, coverage, and efficiency
Excellent communication skills and the ability to reason clearly about system tradeoffs and operational constraints
Experience building search engines, web indexes, or internet-scale crawling platforms
Familiarity with anti-bot systems, dynamic web content, browser automation, and large-scale extraction pipelines
Understanding of how web data is used in training and evaluating large language models
Experience with distributed storage systems, content deduplication, and web-scale dataset management
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nThe web is one of the most important sources of information for frontier AI systems. The quality, coverage, freshness, and diversity of web data directly influence model capabilities.\n\nAs a member of the Data Team, your mission is to build and operate large-scale web crawling systems that continuously discover, acquire, and process content from across the internet. You will own the infrastructure that powers web-scale data collection, from URL discovery and scheduling to distributed crawling, content extraction, and dataset delivery.\n\nYou will work directly with world-class researchers to understand which parts of the web matter most for model performance and build systems that efficiently acquire high-value content at scale.\n\nThis role is ideal for engineers who love building distributed systems, optimizing large-scale crawlers, and solving the unique technical challenges of collecting data from the modern web.\n\n\n\n\nWHAT YOU’LL DO\n\nWorking closely with our pre-training, infrastructure, and data quality teams, you will:\n\n - Build and operate web-scale crawling infrastructure capable of continuously collecting data across billions of URLs\n\n - Design and optimize URL discovery, prioritization, scheduling, and crawl orchestration systems\n\n - Develop distributed crawlers that efficiently acquire content while respecting site constraints and operational requirements\n\n - Build systems for content extraction, rendering, parsing, and normalization across diverse web formats\n\n - Improve crawl coverage, freshness, efficiency, and quality through measurement and experimentation\n\n - Design infrastructure for large-scale recrawling, change detection, and incremental updates\n\n - Develop specialized crawlers for high-value domains, dynamic websites, and difficult-to-access content sources\n\n - Analyze crawl performance and web coverage to identify gaps, inefficiencies, and opportunities for improvement\n\n - Build observability, monitoring, and reliability systems for large-scale crawl operations\n\n - Debug production issues and continuously improve the performance, scalability, and resilience of crawling infrastructure\n\n\n\n\nABOUT YOU\n\n - Passionate about web-scale systems and the challenges of collecting information from the internet\n\n - Curious about how web data influences model capabilities and willing to iterate based on downstream results\n\n - Comfortable balancing crawl quality, coverage, freshness, and operational efficiency\n\n - Enjoy working at the intersection of distributed systems, data infrastructure, and AI\n\n - Able to collaborate closely with researchers, infrastructure engineers, and data quality teams\n\n\n\n\nSKILLS AND QUALIFICATIONS\n\n - Experience building large-scale web crawling, search indexing, content acquisition, or internet-scale data collection systems\n\n - Strong understanding of crawling architectures, URL frontier management, scheduling, and distributed crawl coordination\n\n - Experience with large-scale distributed systems using technologies such as Ray, Spark, Beam, Flink, or similar frameworks\n\n - Familiarity with content extraction, HTML parsing, browser automation, rendering systems, and modern web technologies\n\n - Experience operating systems that process petabyte-scale datasets\n\n - Strong systems engineering skills, including reliability, observability, performance optimization, and debugging\n\n - Experience designing experiments and using data to improve crawl quality, coverage, and efficiency\n\n - Excellent communication skills and the ability to reason clearly about system tradeoffs and operational constraints\n\n\n\n\nNICE TO HAVE\n\n - Experience building search engines, web indexes, or internet-scale crawling platforms\n\n - Familiarity with anti-bot systems, dynamic web content, browser automation, and large-scale extraction pipelines\n\n - Understanding of how web data is used in training and evaluating large language models\n\n - Experience with distributed storage systems, content deduplication, and web-scale dataset management\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"09d9bfdb-2aa7-4fe7-b133-3d3d3fe2a0cb","title":"Member of Technical Staff - Engineering Lead, Compute Platform","department":"Engineering","team":"Foundations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-08-14T07:54:50.272+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/09d9bfdb-2aa7-4fe7-b133-3d3d3fe2a0cb","applyUrl":"https://jobs.ashbyhq.com/reflectionai/09d9bfdb-2aa7-4fe7-b133-3d3d3fe2a0cb/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection's Compute Platform team keeps our compute layer healthy and highly available. We run a Kubernetes-based platform distributed across multiple neo-clouds, where multi-cloud scheduling, node health, and performance debugging at scale present genuinely hard systems problems.
As Compute Platform Lead, you'll provide front-line leadership of the team that builds and operates this layer. You'll build, mentor, and grow a team of strong systems engineers, guide the technical and architectural decisions across multi-cloud scheduling, cluster management, and next-generation GPU deployments, and work closely with our training teams to co-design fault tolerance, node health checks, and remediation. You'll stay close enough to the systems to make targeted contributions as an individual contributor and to maintain a deep understanding of the compute fleet our largest training runs depend on. Managing vendors — and the important deals that come with them — is a core part of the job.
Build, mentor, and grow a high-performing team of systems engineers. Coach and support your reports in understanding, and pursuing, their professional growth.
Provide front-line leadership of engineering efforts to keep the compute fleet reliable and highly available — multi-cloud scheduling, cluster management, and the path to next-generation GPUs and increasingly larger cluster sizes.
Stay hands-on: become familiar with the team's technical stack enough to make targeted contributions as an individual contributor.
Manage day-to-day execution: prioritize the team's work and manage projects in a highly dynamic, fast-paced environment.
Guide technical and architectural decisions, emphasizing scalability, robustness, and reliability — automatic remediation, topology-aware scheduling, capacity planning, rapid hardware debugging, and cluster-wide monitoring and performance benchmarking.
Work closely with our training teams to co-design fault tolerance, node health checks, and remediation, and manage the vendor relationships and important deals the compute fleet depends on.
Prepare the fleet for what's next: next-generation GPUs and larger clusters, and — longer term — multi-cloud storage, petabyte-scale data replication, and GPU-to-GPU network performance.
Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.
Experience building, mentoring, and growing systems or infrastructure teams while staying technically hands-on. (Comfortable growing into leading a team of ~10 quickly if you haven't managed at that scale before.)
Deep systems-level engineering experience with a focus on cluster-wide behavior and maintenance.
Strong coding ability and the credibility to earn the technical trust of a strong team.
Depth in at least one of orchestration, storage, or GPU hardware — with the ability to learn the rest. Deep GPU knowledge beyond standard Kubernetes (e.g., NCCL) is a plus, not a prerequisite.
Alignment with a Kubernetes-first architecture.
Cloud storage expertise — managing high-performance data products (like VAST) across multiple data centers and handling datasets and checkpointing at scale — is a plus.
Experience managing vendors, including negotiating and operating important deals.
Ability to guide strategy and drive execution across a multi-cloud, large-fleet environment, and to partner effectively with research and training teams.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\nABOUT THE ROLE\n\nReflection's Compute Platform team keeps our compute layer healthy and highly available. We run a Kubernetes-based platform distributed across multiple neo-clouds, where multi-cloud scheduling, node health, and performance debugging at scale present genuinely hard systems problems.\n\nAs Compute Platform Lead, you'll provide front-line leadership of the team that builds and operates this layer. You'll build, mentor, and grow a team of strong systems engineers, guide the technical and architectural decisions across multi-cloud scheduling, cluster management, and next-generation GPU deployments, and work closely with our training teams to co-design fault tolerance, node health checks, and remediation. You'll stay close enough to the systems to make targeted contributions as an individual contributor and to maintain a deep understanding of the compute fleet our largest training runs depend on. Managing vendors — and the important deals that come with them — is a core part of the job.\n\n\nWHAT YOU'LL DO\n\n - Build, mentor, and grow a high-performing team of systems engineers. Coach and support your reports in understanding, and pursuing, their professional growth.\n\n - Provide front-line leadership of engineering efforts to keep the compute fleet reliable and highly available — multi-cloud scheduling, cluster management, and the path to next-generation GPUs and increasingly larger cluster sizes.\n\n - Stay hands-on: become familiar with the team's technical stack enough to make targeted contributions as an individual contributor.\n\n - Manage day-to-day execution: prioritize the team's work and manage projects in a highly dynamic, fast-paced environment.\n\n - Guide technical and architectural decisions, emphasizing scalability, robustness, and reliability — automatic remediation, topology-aware scheduling, capacity planning, rapid hardware debugging, and cluster-wide monitoring and performance benchmarking.\n\n - Work closely with our training teams to co-design fault tolerance, node health checks, and remediation, and manage the vendor relationships and important deals the compute fleet depends on.\n\n - Prepare the fleet for what's next: next-generation GPUs and larger clusters, and — longer term — multi-cloud storage, petabyte-scale data replication, and GPU-to-GPU network performance.\n\n - Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience building, mentoring, and growing systems or infrastructure teams while staying technically hands-on. (Comfortable growing into leading a team of ~10 quickly if you haven't managed at that scale before.)\n\n - Deep systems-level engineering experience with a focus on cluster-wide behavior and maintenance.\n\n - Strong coding ability and the credibility to earn the technical trust of a strong team.\n\n - Depth in at least one of orchestration, storage, or GPU hardware — with the ability to learn the rest. Deep GPU knowledge beyond standard Kubernetes (e.g., NCCL) is a plus, not a prerequisite.\n\n - Alignment with a Kubernetes-first architecture.\n\n - Cloud storage expertise — managing high-performance data products (like VAST) across multiple data centers and handling datasets and checkpointing at scale — is a plus.\n\n - Experience managing vendors, including negotiating and operating important deals.\n\n - Ability to guide strategy and drive execution across a multi-cloud, large-fleet environment, and to partner effectively with research and training teams.\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"349b9229-a122-4d63-9f9e-835fbef1063a","title":"Member of Technical Staff - Engineering Lead, Shared Services","department":"Engineering","team":"Foundations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-07-15T22:01:58.513+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/349b9229-a122-4d63-9f9e-835fbef1063a","applyUrl":"https://jobs.ashbyhq.com/reflectionai/349b9229-a122-4d63-9f9e-835fbef1063a/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection's Shared Services team builds and operates the shared services that power our research, training, and production environments the systems multiple teams depend on for model development, deployment, and evaluation. Sharding, replication, coordination, high-concurrency correctness, and tail-latency under real load are genuinely hard systems problems, and everything above us assumes this layer just works.
As Shared Services Lead, you'll provide leadership of the team that builds these services. You'll build, mentor, and grow the engineers who own this layer, guide the technical and architectural decisions that shape it, and work closely with our research and training teams to turn their needs into reliable platform primitives. You'll stay close enough to the stack to make targeted contributions as an individual contributor and to maintain a deep understanding of the team's technical work.
Build, mentor, and grow a high-performing team of systems engineers. Coach and support your reports in understanding, and pursuing, their professional growth.
Provide front-line leadership of engineering efforts to build and scale our shared services distributed systems design, container and Kubernetes abstraction layers, and the service platform teams build on.
Stay hands-on: become familiar with the team's technical stack enough to make targeted contributions as an individual contributor.
Manage day-to-day execution: prioritize the team's work and manage projects in a highly dynamic, fast-paced environment.
Guide technical and architectural decisions, emphasizing scalability, robustness, and reliability SLI/SLO design, healthy on-call practices, consistency, backpressure, and tail-latency under load.
Work closely with our research and training teams to co-design the primitives they depend on, and translate their needs into platform investments and roadmap.
Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.
Experience building, mentoring, and growing engineering teams while staying technically hands-on.
Deep distributed-systems engineering experience, with real ownership of production-grade systems at scale.
Strong coding ability and the credibility to earn the technical trust of a strong team.
Depth in at least one of the team's core areas — distributed systems architecture, service reliability, or the container/service platform — with the ability to learn the rest.
Fluency with the reliability toolkit: SLIs/SLOs, on-call, sharding and replication, coordination services, and tail-latency optimization.
Ability to guide strategy and drive execution in a fast-moving, zero-to-one environment, and to partner effectively with research and training teams.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nReflection's Shared Services team builds and operates the shared services that power our research, training, and production environments the systems multiple teams depend on for model development, deployment, and evaluation. Sharding, replication, coordination, high-concurrency correctness, and tail-latency under real load are genuinely hard systems problems, and everything above us assumes this layer just works.\n\nAs Shared Services Lead, you'll provide leadership of the team that builds these services. You'll build, mentor, and grow the engineers who own this layer, guide the technical and architectural decisions that shape it, and work closely with our research and training teams to turn their needs into reliable platform primitives. You'll stay close enough to the stack to make targeted contributions as an individual contributor and to maintain a deep understanding of the team's technical work.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build, mentor, and grow a high-performing team of systems engineers. Coach and support your reports in understanding, and pursuing, their professional growth.\n\n - Provide front-line leadership of engineering efforts to build and scale our shared services distributed systems design, container and Kubernetes abstraction layers, and the service platform teams build on.\n\n - Stay hands-on: become familiar with the team's technical stack enough to make targeted contributions as an individual contributor.\n\n - Manage day-to-day execution: prioritize the team's work and manage projects in a highly dynamic, fast-paced environment.\n\n - Guide technical and architectural decisions, emphasizing scalability, robustness, and reliability SLI/SLO design, healthy on-call practices, consistency, backpressure, and tail-latency under load.\n\n - Work closely with our research and training teams to co-design the primitives they depend on, and translate their needs into platform investments and roadmap.\n\n - Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience building, mentoring, and growing engineering teams while staying technically hands-on.\n\n - Deep distributed-systems engineering experience, with real ownership of production-grade systems at scale.\n\n - Strong coding ability and the credibility to earn the technical trust of a strong team.\n\n - Depth in at least one of the team's core areas — distributed systems architecture, service reliability, or the container/service platform — with the ability to learn the rest.\n\n - Fluency with the reliability toolkit: SLIs/SLOs, on-call, sharding and replication, coordination services, and tail-latency optimization.\n\n - Ability to guide strategy and drive execution in a fast-moving, zero-to-one environment, and to partner effectively with research and training teams.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"b8aa9e15-39c1-416d-bdca-9f06244ac5af","title":"Member of Technical Staff - Engineering Lead, Data Platform","department":"Engineering","team":"Foundations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-08-27T07:54:51.562+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/b8aa9e15-39c1-416d-bdca-9f06244ac5af","applyUrl":"https://jobs.ashbyhq.com/reflectionai/b8aa9e15-39c1-416d-bdca-9f06244ac5af/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection is building the trusted data backbone for the world's most capable open-weight AI systems. The Data Platform team builds and operates the core data systems and pipelines that power our research, training, and production environments unifying ingestion, processing, and orchestration across the entire data lifecycle so every team can move faster.
We're looking for a front-line technical leader to build, mentor, and grow this team. You'll guide its technical direction while staying hands-on this is a role for someone who has earned deep technical credibility as an engineer and now multiplies it through a team. You'll work closely with our research team to understand what high-velocity experimentation actually needs, and turn that into reliable, reproducible, scalable data infrastructure.
Build, mentor, and grow a team of ~10 exceptional data platform engineers hiring, coaching, and raising the bar with every person you add.
Guide the technical direction across the platform: ingestion and orchestration patterns for batch and streaming workloads, scalable compute and storage foundations, and reproducible pipelines with versioning, backfills, and isolated execution environments.
Work closely with research, training, and production teams to enable high-velocity experimentation on a unified data layer.
Establish trusted data quality, lineage, and governance signals so teams can make confident production decisions.
Keep cost and performance predictable through guardrails, budgets, and continuous system tuning.
Stay hands-on: design reviews, architecture decisions, and code where it matters most.
Compute & orchestration: Spark, Flink, Beam, Airflow, Dagster, Kafka, PubSub
Storage & analytics: data lake and warehouse architectures, Parquet, Iceberg, Delta Lake, BigQuery, Snowflake
Metadata & data quality: lineage systems, metadata management, Great Expectations, reproducibility systems
Cost & performance: partitioning strategies, clustering, cost optimization, SLA-driven pipelines
8+ years of engineering experience with a strong data engineering foundation — you've shipped and owned production-grade pipelines at large scale (tens of TBs to PBs daily).
A track record as a staff/principal-level individual contributor before moving into leadership — you earn the technical trust of a strong team.
You've managed and grown a team (~5–10), or clearly demonstrated the leadership readiness to build one quickly — while staying technically embedded.
Deep in at least one of: ingestion & orchestration at scale, storage and processing engines (lakehouse formats, query engines), or data quality/lineage/reproducibility systems — with working breadth across the others.
Fluent in the modern data stack; you've built new systems from zero rather than maintained legacy ones.
Thrive in a high-agency, fast-paced environment; bias toward action and impact.
Collaborative, clear communicator, comfortable working across research and infrastructure boundaries.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nReflection is building the trusted data backbone for the world's most capable open-weight AI systems. The Data Platform team builds and operates the core data systems and pipelines that power our research, training, and production environments unifying ingestion, processing, and orchestration across the entire data lifecycle so every team can move faster.\n\n\n\nWe're looking for a front-line technical leader to build, mentor, and grow this team. You'll guide its technical direction while staying hands-on this is a role for someone who has earned deep technical credibility as an engineer and now multiplies it through a team. You'll work closely with our research team to understand what high-velocity experimentation actually needs, and turn that into reliable, reproducible, scalable data infrastructure.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build, mentor, and grow a team of ~10 exceptional data platform engineers hiring, coaching, and raising the bar with every person you add.\n\n - Guide the technical direction across the platform: ingestion and orchestration patterns for batch and streaming workloads, scalable compute and storage foundations, and reproducible pipelines with versioning, backfills, and isolated execution environments.\n\n - Work closely with research, training, and production teams to enable high-velocity experimentation on a unified data layer.\n\n - Establish trusted data quality, lineage, and governance signals so teams can make confident production decisions.\n\n - Keep cost and performance predictable through guardrails, budgets, and continuous system tuning.\n\n - Stay hands-on: design reviews, architecture decisions, and code where it matters most.\n\n\n\n\nWHAT YOU'LL WORK WITH\n\n - Compute & orchestration: Spark, Flink, Beam, Airflow, Dagster, Kafka, PubSub\n\n - Storage & analytics: data lake and warehouse architectures, Parquet, Iceberg, Delta Lake, BigQuery, Snowflake\n\n - Metadata & data quality: lineage systems, metadata management, Great Expectations, reproducibility systems\n\n - Cost & performance: partitioning strategies, clustering, cost optimization, SLA-driven pipelines\n\n\n\n\nABOUT YOU\n\n - 8+ years of engineering experience with a strong data engineering foundation — you've shipped and owned production-grade pipelines at large scale (tens of TBs to PBs daily).\n\n - A track record as a staff/principal-level individual contributor before moving into leadership — you earn the technical trust of a strong team.\n\n - You've managed and grown a team (~5–10), or clearly demonstrated the leadership readiness to build one quickly — while staying technically embedded.\n\n - Deep in at least one of: ingestion & orchestration at scale, storage and processing engines (lakehouse formats, query engines), or data quality/lineage/reproducibility systems — with working breadth across the others.\n\n - Fluent in the modern data stack; you've built new systems from zero rather than maintained legacy ones.\n\n - Thrive in a high-agency, fast-paced environment; bias toward action and impact.\n\n - Collaborative, clear communicator, comfortable working across research and infrastructure boundaries.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"5d2153dc-fe9a-473d-8047-c3b81786844a","title":"Member of Technical Staff - Engineering Lead, Applications","department":"Engineering","team":"Foundations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-07-15T22:00:52.513+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/5d2153dc-fe9a-473d-8047-c3b81786844a","applyUrl":"https://jobs.ashbyhq.com/reflectionai/5d2153dc-fe9a-473d-8047-c3b81786844a/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection's Applications team builds the product surfaces that turn raw platform capabilities into usable workflows — the internal dashboards, admin tools, and self-serve experiences our teams run on, and the customer-facing surfaces that connect Reflection to the outside world. This work sits at the intersection of engineering and product: translating ambiguous requirements into clean, operable systems and taking ideas from prototype to hardened production.
As Applications Lead, you'll provide front-line leadership of the team that builds these surfaces. You'll build, mentor, and grow a team of full-stack engineers, guide the technical and architectural decisions that shape what we ship, and work closely with research, platform, and product to decide what gets built and how. You'll stay close enough to the stack — UI through API through auth — to make targeted contributions as an individual contributor and to maintain a deep understanding of the team's technical work.
Build, mentor, and grow a high-performing team of full-stack engineers. Coach and support your reports in understanding, and pursuing, their professional growth.
Provide front-line leadership of engineering efforts to build internal and customer-facing product surfaces dashboards, admin tools, and self-serve workflows.
Stay hands-on: become familiar with the team's technical stack enough to make targeted contributions as an individual contributor.
Manage day-to-day execution: prioritize the team's work and manage projects in a highly dynamic, fast-paced environment.
Guide technical and architectural decisions, emphasizing scalability, robustness, and user experience across React/TypeScript front ends, REST/gRPC APIs, Go/FastAPI services, and the auth, RBAC, and audit underneath.
Work closely with research, platform, and product to translate needs into clear system designs and usable interfaces, and to make integrations with customer environments reliable and maintainable.
Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.
Experience building, mentoring, and growing engineering teams while staying technically hands-on. (Comfortable growing into leading a team of ~10 quickly if you haven't managed at that scale before.)
Deep full-stack engineering experience, with real ownership of production-grade applications shipped end to end.
Strong coding ability and the credibility to earn the technical trust of a strong team.
Comfortable across the full delivery surface — UI through API through auth — with depth in at least one layer and the ability to work across the rest.
Experience integrating with external systems or customer environments and making those integrations reliable and maintainable.
Ability to guide strategy and drive execution in a fast-moving, zero-to-one environment, and to partner effectively across research, platform, and product.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\nABOUT THE ROLE\n\nReflection's Applications team builds the product surfaces that turn raw platform capabilities into usable workflows — the internal dashboards, admin tools, and self-serve experiences our teams run on, and the customer-facing surfaces that connect Reflection to the outside world. This work sits at the intersection of engineering and product: translating ambiguous requirements into clean, operable systems and taking ideas from prototype to hardened production.\n\nAs Applications Lead, you'll provide front-line leadership of the team that builds these surfaces. You'll build, mentor, and grow a team of full-stack engineers, guide the technical and architectural decisions that shape what we ship, and work closely with research, platform, and product to decide what gets built and how. You'll stay close enough to the stack — UI through API through auth — to make targeted contributions as an individual contributor and to maintain a deep understanding of the team's technical work.\n\n\nWHAT YOU'LL DO\n\n - Build, mentor, and grow a high-performing team of full-stack engineers. Coach and support your reports in understanding, and pursuing, their professional growth.\n\n - Provide front-line leadership of engineering efforts to build internal and customer-facing product surfaces dashboards, admin tools, and self-serve workflows.\n\n - Stay hands-on: become familiar with the team's technical stack enough to make targeted contributions as an individual contributor.\n\n - Manage day-to-day execution: prioritize the team's work and manage projects in a highly dynamic, fast-paced environment.\n\n - Guide technical and architectural decisions, emphasizing scalability, robustness, and user experience across React/TypeScript front ends, REST/gRPC APIs, Go/FastAPI services, and the auth, RBAC, and audit underneath.\n\n - Work closely with research, platform, and product to translate needs into clear system designs and usable interfaces, and to make integrations with customer environments reliable and maintainable.\n\n - Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience building, mentoring, and growing engineering teams while staying technically hands-on. (Comfortable growing into leading a team of ~10 quickly if you haven't managed at that scale before.)\n\n - Deep full-stack engineering experience, with real ownership of production-grade applications shipped end to end.\n\n - Strong coding ability and the credibility to earn the technical trust of a strong team.\n\n - Comfortable across the full delivery surface — UI through API through auth — with depth in at least one layer and the ability to work across the rest.\n\n - Experience integrating with external systems or customer environments and making those integrations reliable and maintainable.\n\n - Ability to guide strategy and drive execution in a fast-moving, zero-to-one environment, and to partner effectively across research, platform, and product.\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"4c20bdab-01ff-4ed8-9a75-d258465ba14f","title":"Member of Technical Staff - Engineering Lead, Platform Foundations","department":"Engineering","team":"Foundations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-07-15T10:22:46.118+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/4c20bdab-01ff-4ed8-9a75-d258465ba14f","applyUrl":"https://jobs.ashbyhq.com/reflectionai/4c20bdab-01ff-4ed8-9a75-d258465ba14f/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection's Platform Foundations team builds and operates the foundational layer every engineering team depends on — cloud and multi-cloud infrastructure, networking primitives, security guardrails, and developer tooling. The team defines the opinionated golden paths that make the safe, scalable, cost-predictable path also the easiest one to follow, so engineers can ship quickly without reinventing the foundation each time.
As Platform Foundations Lead, you'll provide front-line leadership of the team that builds this layer. You'll build, mentor, and grow a team of infrastructure engineers, guide the technical and architectural decisions across cloud, networking, security, and developer infrastructure, and work closely with every engineering team that builds on top of you. You'll stay close enough to the stack to make targeted contributions as an individual contributor and to maintain a deep understanding of the team's technical work. Managing cloud and infrastructure vendors and the important deals that come with them is a core part of the job.
Build, mentor, and grow a high-performing team of infrastructure and platform engineers. Coach and support your reports in understanding, and pursuing, their professional growth.
Provide front-line leadership of engineering efforts to build the foundational platform — multi-cloud design, networking, identity and security, and developer infrastructure — and the golden paths and secure defaults that make the safe path the easy path.
Stay hands-on: become familiar with the team's technical stack enough to make targeted contributions as an individual contributor.
Manage day-to-day execution: prioritize the team's work and manage projects in a highly dynamic, fast-paced environment.
Guide technical and architectural decisions, emphasizing scalability, robustness, security, and cost predictability — networking primitives (routing, DNS, load balancing, BGP), large-scale Kubernetes, IAM and policy-as-code, CI/CD and build systems, and observability.
Work closely with our research and engineering teams, and manage the cloud and infrastructure vendor relationships and deals the platform depends on.
Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.
Experience building, mentoring, and growing infrastructure or platform teams while staying technically hands-on. (Comfortable growing into leading a team of ~10 quickly if you haven't managed at that scale before.)
Deep infrastructure or platform engineering experience, with real ownership of production-grade systems at scale.
Strong coding ability and the credibility to earn the technical trust of a strong team.
Deep expertise in at least one of: cloud platforms, network engineering, security architecture, or developer tooling — with working knowledge across the others, and the ability to learn the rest.
Fluency with the modern infra toolkit: Terraform/Pulumi, Kubernetes, CI/CD and build systems (e.g. Bazel), and observability (Prometheus/Grafana/OpenTelemetry).
Experience managing cloud and infrastructure vendors, including negotiating and operating important deals.
Ability to guide strategy and drive execution across a multi-cloud, multi-team environment, and to partner effectively with research and engineering teams.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\nABOUT THE ROLE\n\nReflection's Platform Foundations team builds and operates the foundational layer every engineering team depends on — cloud and multi-cloud infrastructure, networking primitives, security guardrails, and developer tooling. The team defines the opinionated golden paths that make the safe, scalable, cost-predictable path also the easiest one to follow, so engineers can ship quickly without reinventing the foundation each time.\n\n\n\nAs Platform Foundations Lead, you'll provide front-line leadership of the team that builds this layer. You'll build, mentor, and grow a team of infrastructure engineers, guide the technical and architectural decisions across cloud, networking, security, and developer infrastructure, and work closely with every engineering team that builds on top of you. You'll stay close enough to the stack to make targeted contributions as an individual contributor and to maintain a deep understanding of the team's technical work. Managing cloud and infrastructure vendors and the important deals that come with them is a core part of the job.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build, mentor, and grow a high-performing team of infrastructure and platform engineers. Coach and support your reports in understanding, and pursuing, their professional growth.\n\n - Provide front-line leadership of engineering efforts to build the foundational platform — multi-cloud design, networking, identity and security, and developer infrastructure — and the golden paths and secure defaults that make the safe path the easy path.\n\n - Stay hands-on: become familiar with the team's technical stack enough to make targeted contributions as an individual contributor.\n\n - Manage day-to-day execution: prioritize the team's work and manage projects in a highly dynamic, fast-paced environment.\n\n - Guide technical and architectural decisions, emphasizing scalability, robustness, security, and cost predictability — networking primitives (routing, DNS, load balancing, BGP), large-scale Kubernetes, IAM and policy-as-code, CI/CD and build systems, and observability.\n\n - Work closely with our research and engineering teams, and manage the cloud and infrastructure vendor relationships and deals the platform depends on.\n\n - Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience building, mentoring, and growing infrastructure or platform teams while staying technically hands-on. (Comfortable growing into leading a team of ~10 quickly if you haven't managed at that scale before.)\n\n - Deep infrastructure or platform engineering experience, with real ownership of production-grade systems at scale.\n\n - Strong coding ability and the credibility to earn the technical trust of a strong team.\n\n - Deep expertise in at least one of: cloud platforms, network engineering, security architecture, or developer tooling — with working knowledge across the others, and the ability to learn the rest.\n\n - Fluency with the modern infra toolkit: Terraform/Pulumi, Kubernetes, CI/CD and build systems (e.g. Bazel), and observability (Prometheus/Grafana/OpenTelemetry).\n\n - Experience managing cloud and infrastructure vendors, including negotiating and operating important deals.\n\n - Ability to guide strategy and drive execution across a multi-cloud, multi-team environment, and to partner effectively with research and engineering teams.\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"a4557506-cc62-4efc-b051-c393067c2740","title":"MTS Lead, Technology & Security Engineering","department":"Operations","team":"Operations","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-07-14T19:56:54.541+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/a4557506-cc62-4efc-b051-c393067c2740","applyUrl":"https://jobs.ashbyhq.com/reflectionai/a4557506-cc62-4efc-b051-c393067c2740/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
As the MTS Lead of Technology & Security Engineering is responsible for architecting and operating the security engineering foundation that protects the organization’s corporate environment, multi-cloud research infrastructure, and multi-million-dollar GPU training capacity. This lead owns the full technical security stack — from end-user compute and zero-trust access to cloud and container security, detection engineering, and security-as-code — ensuring the organization can move at research speed without sacrificing rigor.
Sitting at the intersection of security engineering, infrastructure, and research operations, this role is uniquely positioned to define how a frontier AI company protects its most sensitive assets — model weights, training data, and GPU capacity — while preserving the low-friction environment researchers and engineers need to do their best work. The ideal candidate brings deep, hands-on technical depth alongside the executive presence to lead a security engineering function, represent the organization’s security posture to auditors and enterprise customers, and negotiate vendor and contractual risk.
This is a high-visibility, high-impact role that operates across engineering, infrastructure, legal, and physical security. Success requires the ability to design guardrails rather than gates, build systems that assume compromise, and operate credibly as both an executive leader and a hands-on builder.
High-Performance End User Compute (EUC)
Design and manage a highly resilient corporate device fleet spanning Linux, macOS, Windows and specialized hardware such as NVIDIA GPU workstations.
Shift the fleet away from restrictive MDM policies toward intelligent posture verification and cryptographic device binding, reducing friction without reducing assurance.
Secure diverse local toolchains and developer environments without breaking the workflows researchers and engineers depend on.
Securing the Research & Training Boundary
Architect cloud-native security controls across multi-cloud environments that contain multi-million-dollar GPU clusters.
Establish IAM governance, network segmentation, and isolation boundaries appropriate to the scale and sensitivity of training infrastructure and model assets.
Partner with infrastructure and research teams to ensure security controls scale with GPU capacity rather than constrain it.
Phishing-Resistant Zero-Trust Access
Implement continuous, context-aware authorization using modern mesh networks and proxies (e.g., Tailscale, Cloudflare One).
Enforce hardware-backed authentication (WebAuthn/FIDO2 keys) across every corporate and production plane.
Eliminate standing and persistent access in favor of just-in-time, verifiable authorization.
Security as Code (SaC)
Ensure 100% of infrastructure, endpoint configurations, IAM policies, and cloud environments are declared in code (Terraform/Pulumi).
Eliminate configuration drift through automated CI/CD validation and continuous compliance checks.
Build repeatable, auditable deployment pipelines that make security posture provable rather than assumed.
Behavioral Detection Engineering
Build telemetry pipelines that ingest high-fidelity logs into a cloud-native data lake to support detection at scale.
Detect sophisticated post-exploitation techniques, lateral movement, and living-off-the-land attacks across corporate and production environments.
Continuously tune detection coverage against an assumed-breach threat model, prioritizing time-to-detect and blast-radius containment.
Compliance, Audit & Vendor Risk
Support SOC 2, ISO 27001, FedRAMP, ISO 22237, ISO 22301, NIST CSF, customer audits, and enterprise security reviews.
Lead vendor risk assessments, procurement security reviews, and security-related legal contract negotiations.
Own front-line defenses for a frontier AI company, including physical security and data center security operations.
Experience & Background
20+ years of deep engineering experience at high-valuation companies, or in defense-grade environments.
Battle-tested technical leadership with a track record of building and operating security engineering functions at scale.
Experience supporting SOC 2, ISO 27001, FedRAMP, ISO 22237, ISO 22301, NIST CSF, customer audits, and enterprise security reviews.
Experience leading vendor risk, procurement security reviews, and legal contract negotiations.
Experience with front-line defenses for an AI company, including physical security and data center security operations.
Skills & Capabilities
Deep familiarity with Linux and macOS internals, including how to secure specialized hardware (NVIDIA GPUs) without breaking developer environments.
Expert-level knowledge of public cloud architectures, IAM governance at scale, and Kubernetes/container isolation primitives.
Technical understanding of cloud and infrastructure security, Kubernetes and container security, zero-trust architectures, security operations at scale, identity and access management, detection and response technologies, and security automation and orchestration.
Ability to operate as both an executive leader and a hands-on builder, moving fluidly between strategy and implementation.
Mindset & Approach
A “guardrails, not gates” philosophy — understands that blocking a researcher from pulling a Python library or mounting a filesystem means security has failed, and builds accordingly using virtualization, sandboxing, and data isolation.
An adversarial mindset that designs systems under the assumption the endpoint will be compromised, focusing defenses on limiting blast radius, eliminating persistent access, and detecting post-compromise activity immediately.
Motivated by building — comfortable operating in ambiguous, fast-moving environments where security infrastructure is maturing alongside a rapidly scaling research organization.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW \n\n\n\nAs the MTS Lead of Technology & Security Engineering is responsible for architecting and operating the security engineering foundation that protects the organization’s corporate environment, multi-cloud research infrastructure, and multi-million-dollar GPU training capacity. This lead owns the full technical security stack — from end-user compute and zero-trust access to cloud and container security, detection engineering, and security-as-code — ensuring the organization can move at research speed without sacrificing rigor.\n\nSitting at the intersection of security engineering, infrastructure, and research operations, this role is uniquely positioned to define how a frontier AI company protects its most sensitive assets — model weights, training data, and GPU capacity — while preserving the low-friction environment researchers and engineers need to do their best work. The ideal candidate brings deep, hands-on technical depth alongside the executive presence to lead a security engineering function, represent the organization’s security posture to auditors and enterprise customers, and negotiate vendor and contractual risk.\n\nThis is a high-visibility, high-impact role that operates across engineering, infrastructure, legal, and physical security. Success requires the ability to design guardrails rather than gates, build systems that assume compromise, and operate credibly as both an executive leader and a hands-on builder.\n\n\n\n\n\nWHAT YOU'LL DO\n\n\n\nHigh-Performance End User Compute (EUC)\n\n - Design and manage a highly resilient corporate device fleet spanning Linux, macOS, Windows and specialized hardware such as NVIDIA GPU workstations.\n\n - Shift the fleet away from restrictive MDM policies toward intelligent posture verification and cryptographic device binding, reducing friction without reducing assurance.\n\n - Secure diverse local toolchains and developer environments without breaking the workflows researchers and engineers depend on.\n\nSecuring the Research & Training Boundary\n\n - Architect cloud-native security controls across multi-cloud environments that contain multi-million-dollar GPU clusters.\n\n - Establish IAM governance, network segmentation, and isolation boundaries appropriate to the scale and sensitivity of training infrastructure and model assets.\n\n - Partner with infrastructure and research teams to ensure security controls scale with GPU capacity rather than constrain it.\n\nPhishing-Resistant Zero-Trust Access\n\n - Implement continuous, context-aware authorization using modern mesh networks and proxies (e.g., Tailscale, Cloudflare One).\n\n - Enforce hardware-backed authentication (WebAuthn/FIDO2 keys) across every corporate and production plane.\n\n - Eliminate standing and persistent access in favor of just-in-time, verifiable authorization.\n\nSecurity as Code (SaC)\n\n - Ensure 100% of infrastructure, endpoint configurations, IAM policies, and cloud environments are declared in code (Terraform/Pulumi).\n\n - Eliminate configuration drift through automated CI/CD validation and continuous compliance checks.\n\n - Build repeatable, auditable deployment pipelines that make security posture provable rather than assumed.\n\nBehavioral Detection Engineering\n\n - Build telemetry pipelines that ingest high-fidelity logs into a cloud-native data lake to support detection at scale.\n\n - Detect sophisticated post-exploitation techniques, lateral movement, and living-off-the-land attacks across corporate and production environments.\n\n - Continuously tune detection coverage against an assumed-breach threat model, prioritizing time-to-detect and blast-radius containment.\n\nCompliance, Audit & Vendor Risk\n\n - Support SOC 2, ISO 27001, FedRAMP, ISO 22237, ISO 22301, NIST CSF, customer audits, and enterprise security reviews.\n\n - Lead vendor risk assessments, procurement security reviews, and security-related legal contract negotiations.\n\n - Own front-line defenses for a frontier AI company, including physical security and data center security operations.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nExperience & Background\n\n - 20+ years of deep engineering experience at high-valuation companies, or in defense-grade environments.\n\n - Battle-tested technical leadership with a track record of building and operating security engineering functions at scale.\n\n - Experience supporting SOC 2, ISO 27001, FedRAMP, ISO 22237, ISO 22301, NIST CSF, customer audits, and enterprise security reviews.\n\n - Experience leading vendor risk, procurement security reviews, and legal contract negotiations.\n\n - Experience with front-line defenses for an AI company, including physical security and data center security operations.\n\nSkills & Capabilities\n\n - Deep familiarity with Linux and macOS internals, including how to secure specialized hardware (NVIDIA GPUs) without breaking developer environments.\n\n - Expert-level knowledge of public cloud architectures, IAM governance at scale, and Kubernetes/container isolation primitives.\n\n - Technical understanding of cloud and infrastructure security, Kubernetes and container security, zero-trust architectures, security operations at scale, identity and access management, detection and response technologies, and security automation and orchestration.\n\n - Ability to operate as both an executive leader and a hands-on builder, moving fluidly between strategy and implementation.\n\nMindset & Approach\n\n - A “guardrails, not gates” philosophy — understands that blocking a researcher from pulling a Python library or mounting a filesystem means security has failed, and builds accordingly using virtualization, sandboxing, and data isolation.\n\n - An adversarial mindset that designs systems under the assumption the endpoint will be compromised, focusing defenses on limiting blast radius, eliminating persistent access, and detecting post-compromise activity immediately.\n\n - Motivated by building — comfortable operating in ambiguous, fast-moving environments where security infrastructure is maturing alongside a rapidly scaling research organization.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"3865d9c3-8cf8-464c-9451-81628427b867","title":"MTS Lead, Identity and Access Management","department":"Operations","team":"InfoSec / Compliance","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-07-14T23:02:58.220+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/3865d9c3-8cf8-464c-9451-81628427b867","applyUrl":"https://jobs.ashbyhq.com/reflectionai/3865d9c3-8cf8-464c-9451-81628427b867/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
The Head of Identity and Access Management is responsible for architecting, building, and operating Reflection’s identity infrastructure — the foundational security layer in an environment where the perimeter is entirely identity-based and the threat model includes sophisticated, highly motivated nation-state actors targeting intellectual property, training pipelines, and model weights. This leader will design and operate a bleeding-edge, zero-trust identity architecture that treats identity as software, eliminates static credentials, and protects Reflection’s researchers and massive-scale compute environments without introducing friction.
This is not a traditional enterprise IAM or Active Directory management role. The ideal candidate is a security architect and software engineer in equal measure — capable of mandating hardware-backed phishing-resistant authentication globally, building just-in-time credentialing systems for GPU cluster access, and engineering dynamic, context-aware authorization pipelines that hold up against the most advanced adversary techniques. They bring first-principles cryptographic depth, cloud-native mastery, and the software engineering capability to build custom tooling where commercial solutions fall short.
This is a high-stakes, high-visibility role at the center of Reflection’s security posture. Success requires the ability to build identity infrastructure that is simultaneously state-of-the-art in its security guarantees and genuinely developer-friendly in its design — because at Reflection, security that slows down a researcher is security that has failed.
Next-Generation IAM Architecture
Design and implement a resilient, cloud-native identity architecture leveraging modern IdPs (Okta, OIDC/OAuth 2.0 federations) unified with edge-enforced zero-trust access networks (Cloudflare Access, Tailscale / WireGuard topologies).
Architect and continuously evolve the organization’s identity boundary with a first-principles approach — replacing legacy constructs with modern, cryptographically-grounded alternatives at every layer.
Own the full identity lifecycle architecture across corporate, production, and research environments, ensuring consistency, auditability, and resilience across all access surfaces.
Phishing-Resistant Zero Trust
Mandate and enforce hardware-backed authentication (YubiKeys/WebAuthn) globally across all corporate, production, and research endpoints.
Eliminate SMS, TOTP, and legacy MFA bypass vectors — driving the organization to a posture where phishing-resistant authentication is the only path.
Design and operate zero-trust access controls that enforce least-privilege dynamically, incorporating device posture, user context, and behavioral signals into access decisions.
Privileged Access Management & Compute Security
Build short-lived, just-in-time credentialing systems for engineering and research access to massive GPU clusters across AWS, GCP, and OCI environments.
Replace SSH keys and long-lived credentials with ephemeral, short-lived certificate-based access via tools like Teleport or HashiCorp Boundary.
Design and enforce privileged access workflows that give researchers and engineers the access they need — instantly, securely, and with full audit trail — without creating persistent attack surface.
Workload & Machine Identity
Architect SPIFFE/SPIRE or cloud-native cryptographic identity frameworks for service-to-service communication across the full workload landscape.
Ensure machine accounts, training jobs, and CI/CD pipelines use dynamic, short-lived tokens rather than long-lived secrets — eliminating static credential exposure as an attack vector.
Maintain and evolve workload identity infrastructure as the compute environment scales, ensuring machine identity remains cryptographically sound and operationally reliable at scale.
Policy as Code & Developer Integration
Treat authorization policies as code using Open Policy Agent (OPA)/Rego, Cedar, or equivalent frameworks — with full version control, testing, and deployment pipelines.
Integrate policy evaluation directly into developer workflows and infrastructure deployment pipelines, ensuring authorization is enforced at build time as well as runtime.
Partner with engineering teams to design access models that make the secure path the path of least resistance — eliminating the developer friction that causes security to be circumvented.
Automation, Lifecycle Management & Detection
Build automated provisioning and deprovisioning workflows via SCIM and API-first tooling, ensuring identity lifecycle events are handled with speed, accuracy, and full audit trail.
Partner with Detection Engineering to instrument identity telemetry and build detection logic targeting anomalous authentication flows, session hijacking attempts, and nation-state adversary tactics.
Continuously improve automation coverage across the identity stack, reducing manual toil and eliminating the human error surface in identity operations.
Experience & Background
15+ years of dedicated experience in identity security, security architecture, or infrastructure engineering within high-growth startups, hyperscale cloud environments, or elite security teams.
Demonstrated track record of architecting and operating modern, zero-trust identity infrastructure at scale — including hardware-backed authentication, JIT credentialing, and workload identity systems.
Hands-on experience securing IAM boundaries across major cloud providers (AWS, GCP) and containerized environments, including Kubernetes identity federation and IAM roles for service accounts.
Practical experience building and operating privileged access management systems for large-scale compute environments, including GPU cluster access in cloud or neocloud contexts.
Prior experience partnering with detection and response teams to instrument identity telemetry and build adversary-focused detection logic targeting identity-layer attack techniques.
Skills & Capabilities
Deep, first-principles understanding of OAuth 2.0, OIDC, SAML, WebAuthn / FIDO2, and PKI — able to reason from cryptographic fundamentals, not just implement vendor tooling.
Strong software engineering capability — able to write clean, maintainable code (Go, Python, or Rust) to build custom tooling, API integrations, and automation where commercial solutions fall short.
Proficiency in Infrastructure as Code (Terraform, Pulumi) for defining and managing identity constructs programmatically.
Clear, working knowledge of advanced adversary techniques targeting identity, including session token theft, OAuth consent abuse, device registration hijacking, and Golden SAML vectors.
Demonstrated ability to design identity systems that balance rigorous security guarantees with developer-friendly operational experience — treating usability as a security property, not a trade-off.
Mindset & Approach
Developer and researcher obsessed — genuinely believes that security is broken if it impedes a researcher’s ability to train a model, and designs systems where the secure path is also the easiest path.
A bleeding-edge pragmatist — keeps current with the latest developments in the identity and security ecosystem, preferring modern open-source and developer-first tooling over legacy enterprise security suites.
Resilient and threat-aware — understands that Reflection is a high-value target and constructs identity boundaries with the explicit assumption that individual components will be compromised, designing for resilience rather than relying on perimeter integrity.
A builder at heart — energized by the challenge of engineering identity infrastructure from scratch in an environment where the stakes are existential and the technical bar is genuinely high.
Mission-aligned — understands the unique identity security responsibilities of a frontier AI company and approaches the work with the depth of expertise and seriousness of purpose it demands.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nThe Head of Identity and Access Management is responsible for architecting, building, and operating Reflection’s identity infrastructure — the foundational security layer in an environment where the perimeter is entirely identity-based and the threat model includes sophisticated, highly motivated nation-state actors targeting intellectual property, training pipelines, and model weights. This leader will design and operate a bleeding-edge, zero-trust identity architecture that treats identity as software, eliminates static credentials, and protects Reflection’s researchers and massive-scale compute environments without introducing friction.\n\nThis is not a traditional enterprise IAM or Active Directory management role. The ideal candidate is a security architect and software engineer in equal measure — capable of mandating hardware-backed phishing-resistant authentication globally, building just-in-time credentialing systems for GPU cluster access, and engineering dynamic, context-aware authorization pipelines that hold up against the most advanced adversary techniques. They bring first-principles cryptographic depth, cloud-native mastery, and the software engineering capability to build custom tooling where commercial solutions fall short.\n\nThis is a high-stakes, high-visibility role at the center of Reflection’s security posture. Success requires the ability to build identity infrastructure that is simultaneously state-of-the-art in its security guarantees and genuinely developer-friendly in its design — because at Reflection, security that slows down a researcher is security that has failed.\n\n\n\n\nWHAT YOU'LL DO\n\nNext-Generation IAM Architecture\n\n - Design and implement a resilient, cloud-native identity architecture leveraging modern IdPs (Okta, OIDC/OAuth 2.0 federations) unified with edge-enforced zero-trust access networks (Cloudflare Access, Tailscale / WireGuard topologies).\n\n - Architect and continuously evolve the organization’s identity boundary with a first-principles approach — replacing legacy constructs with modern, cryptographically-grounded alternatives at every layer.\n\n - Own the full identity lifecycle architecture across corporate, production, and research environments, ensuring consistency, auditability, and resilience across all access surfaces.\n\nPhishing-Resistant Zero Trust\n\n - Mandate and enforce hardware-backed authentication (YubiKeys/WebAuthn) globally across all corporate, production, and research endpoints.\n\n - Eliminate SMS, TOTP, and legacy MFA bypass vectors — driving the organization to a posture where phishing-resistant authentication is the only path.\n\n - Design and operate zero-trust access controls that enforce least-privilege dynamically, incorporating device posture, user context, and behavioral signals into access decisions.\n\nPrivileged Access Management & Compute Security\n\n - Build short-lived, just-in-time credentialing systems for engineering and research access to massive GPU clusters across AWS, GCP, and OCI environments.\n\n - Replace SSH keys and long-lived credentials with ephemeral, short-lived certificate-based access via tools like Teleport or HashiCorp Boundary.\n\n - Design and enforce privileged access workflows that give researchers and engineers the access they need — instantly, securely, and with full audit trail — without creating persistent attack surface.\n\nWorkload & Machine Identity\n\n - Architect SPIFFE/SPIRE or cloud-native cryptographic identity frameworks for service-to-service communication across the full workload landscape.\n\n - Ensure machine accounts, training jobs, and CI/CD pipelines use dynamic, short-lived tokens rather than long-lived secrets — eliminating static credential exposure as an attack vector.\n\n - Maintain and evolve workload identity infrastructure as the compute environment scales, ensuring machine identity remains cryptographically sound and operationally reliable at scale.\n\nPolicy as Code & Developer Integration\n\n - Treat authorization policies as code using Open Policy Agent (OPA)/Rego, Cedar, or equivalent frameworks — with full version control, testing, and deployment pipelines.\n\n - Integrate policy evaluation directly into developer workflows and infrastructure deployment pipelines, ensuring authorization is enforced at build time as well as runtime.\n\n - Partner with engineering teams to design access models that make the secure path the path of least resistance — eliminating the developer friction that causes security to be circumvented.\n\nAutomation, Lifecycle Management & Detection\n\n - Build automated provisioning and deprovisioning workflows via SCIM and API-first tooling, ensuring identity lifecycle events are handled with speed, accuracy, and full audit trail.\n\n - Partner with Detection Engineering to instrument identity telemetry and build detection logic targeting anomalous authentication flows, session hijacking attempts, and nation-state adversary tactics.\n\n - Continuously improve automation coverage across the identity stack, reducing manual toil and eliminating the human error surface in identity operations.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\nExperience & Background\n\n - 15+ years of dedicated experience in identity security, security architecture, or infrastructure engineering within high-growth startups, hyperscale cloud environments, or elite security teams.\n\n - Demonstrated track record of architecting and operating modern, zero-trust identity infrastructure at scale — including hardware-backed authentication, JIT credentialing, and workload identity systems.\n\n - Hands-on experience securing IAM boundaries across major cloud providers (AWS, GCP) and containerized environments, including Kubernetes identity federation and IAM roles for service accounts.\n\n - Practical experience building and operating privileged access management systems for large-scale compute environments, including GPU cluster access in cloud or neocloud contexts.\n\n - Prior experience partnering with detection and response teams to instrument identity telemetry and build adversary-focused detection logic targeting identity-layer attack techniques.\n\nSkills & Capabilities\n\n - Deep, first-principles understanding of OAuth 2.0, OIDC, SAML, WebAuthn / FIDO2, and PKI — able to reason from cryptographic fundamentals, not just implement vendor tooling.\n\n - Strong software engineering capability — able to write clean, maintainable code (Go, Python, or Rust) to build custom tooling, API integrations, and automation where commercial solutions fall short.\n\n - Proficiency in Infrastructure as Code (Terraform, Pulumi) for defining and managing identity constructs programmatically.\n\n - Clear, working knowledge of advanced adversary techniques targeting identity, including session token theft, OAuth consent abuse, device registration hijacking, and Golden SAML vectors.\n\n - Demonstrated ability to design identity systems that balance rigorous security guarantees with developer-friendly operational experience — treating usability as a security property, not a trade-off.\n\nMindset & Approach\n\n - Developer and researcher obsessed — genuinely believes that security is broken if it impedes a researcher’s ability to train a model, and designs systems where the secure path is also the easiest path.\n\n - A bleeding-edge pragmatist — keeps current with the latest developments in the identity and security ecosystem, preferring modern open-source and developer-first tooling over legacy enterprise security suites.\n\n - Resilient and threat-aware — understands that Reflection is a high-value target and constructs identity boundaries with the explicit assumption that individual components will be compromised, designing for resilience rather than relying on perimeter integrity.\n\n - A builder at heart — energized by the challenge of engineering identity infrastructure from scratch in an environment where the stakes are existential and the technical bar is genuinely high.\n\n - Mission-aligned — understands the unique identity security responsibilities of a frontier AI company and approaches the work with the depth of expertise and seriousness of purpose it demands.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"3df75b72-7958-4cb4-a7ae-ac65787974fa","title":"MTS Lead, Product Security","department":"Operations","team":"InfoSec / Compliance","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-17T16:12:44.389+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/3df75b72-7958-4cb4-a7ae-ac65787974fa","applyUrl":"https://jobs.ashbyhq.com/reflectionai/3df75b72-7958-4cb4-a7ae-ac65787974fa/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
The MTS Lead for Product Security is responsible for building, scaling, and operating Reflection’s security program across the full breadth of the enterprise — from physical and data center infrastructure to cloud and neocloud environments, vendor ecosystems, and strategic growth activities. This lead serves as a senior partner to the CISO, translating the company’s long-term security strategy into an operating model that can withstand hypergrowth and the unique demands of a frontier AI company.
Sitting at the intersection of infrastructure security, enterprise operations, and strategic risk, this role is uniquely positioned to shape how Reflection understands and manages its security posture as it scales. The ideal candidate is both a strategic architect and a hands-on operator — equally capable of defining security standards for neocloud environments and standing up physical controls for a new data center deployment. They bring deep technical fluency across cloud, infrastructure, and AI compute environments, and the executive presence to represent Reflection’s security posture to customers, regulators, investors, and government stakeholders.
This is a high-visibility, high-impact role with broad organizational reach. Success requires the ability to build security programs from scratch, scale them through periods of rapid change, and maintain operational excellence across a complex, globally distributed technology footprint.
Senior CISO Partnership & Security Strategy
Help define and execute the company’s long-term security strategy and security operating model.
Support the CISO and CSO in representing security leadership with customers, auditors, investors, regulators, government officials, and executive stakeholders.
Recruit, develop, and mentor world-class security and technology professionals.
Balance strategic leadership with hands-on execution as organizational needs evolve.
Data Center & Physical Security
Own security strategy for data centers, colocation facilities, and infrastructure operations globally.
Partner with infrastructure and site operations teams to embed security throughout the data center lifecycle, including site selection, design, commissioning, and operations.
Define standards for physical access controls, surveillance systems, asset protection, hardware handling, and operational resilience.
Cloud & NeoCloud Security
Own the security strategy, configuration requirements, and governance for neocloud infrastructure that each facility must follow to host Reflection workloads.
Develop and enforce security design standards for third-party neocloud environments to integrate with Reflection’s corporate and engineering workflows, including incident response and vulnerability management.
Lead technical assessments of neocloud first- and third-party deployments for ongoing assurance — validating security posture, identifying gaps, and driving remediation to meet Reflection’s security guarantees and customer contractual obligations.
Own security contractual negotiations with neocloud providers to ensure all Reflection security requirements are contractually defined, enforceable, and aligned with the company’s product offerings and regulatory expectations.
Mergers, Acquisitions & Strategic Growth
Partner with the CISO to lead security and technology due diligence for acquisitions, investments, and strategic partnerships.
Partner with Reflection’s Risk Leader to identify security, infrastructure, compliance, privacy, and operational risks associated with target organizations.
Drive post-acquisition security integration and modernization initiatives across enterprise security and corporate technology.
Vendor Risk & Strategic Procurement
Develop and own security strategy, review processes, and approval workflows for software, SaaS, cloud services, hardware suppliers, and strategic technology purchases.
Build and operate vendor security assessment and third-party risk management programs.
Partner with Legal and Finance on contract negotiations, security requirements, privacy obligations, and risk transfer mechanisms on both buy and sell sides.
Experience & Background
12+ years of experience across cybersecurity, infrastructure security, enterprise technology, or related fields.
Proven track record of building security programs from the ground up within startups, AI companies, cloud providers, hyperscalers, or hypergrowth technology organizations.
Demonstrated success scaling teams and organizations from 0→1 and 1→N.
Experience securing AI infrastructure and running security operations for GPU compute environments.
Experience working within or alongside neocloud providers, hyperscalers, colocation operators, or large-scale physical cloud infrastructure organizations.
Experience leading vendor risk programs, procurement security reviews, and legal contract negotiations.
Familiarity supporting SOC 2, ISO 27001, FedRAMP, ISO 22237, ISO 22301, NIST CSF, customer audits, and enterprise security reviews.
Skills & Capabilities
Technical depth across cloud and infrastructure security, Kubernetes and container security, Zero Trust architectures, identity and access management, detection and response technologies, and security automation and orchestration.
Ability to design and communicate security standards, architecture decisions, and risk trade-offs to both technical and non-technical audiences.
Strong operational judgment — capable of defining security policy and implementing controls directly when organizational needs require it.
Proven ability to manage complex vendor relationships, negotiate security-oriented contractual terms, and hold third parties accountable to defined standards.
Track record of building and maturing physical and data center security programs at scale.
Mindset & Approach
A security practitioner who operates with both technical rigor and pragmatic judgment — focused on building programs that are operationally effective, not just technically sound.
Equally comfortable in the boardroom and the server room — capable of representing Reflection’s security posture to executive stakeholders and regulators while remaining deeply fluent in the technical details.
Highly collaborative and organizationally astute, with the ability to build trusted relationships across engineering, legal, risk, and business functions.
Motivated by building — energized by creating security infrastructure from scratch in a fast-moving environment where the stakes are high and the work is genuinely novel.
Committed to the mission — understands the unique security responsibilities of a frontier AI company and approaches the work with the seriousness it demands.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nThe MTS Lead for Product Security is responsible for building, scaling, and operating Reflection’s security program across the full breadth of the enterprise — from physical and data center infrastructure to cloud and neocloud environments, vendor ecosystems, and strategic growth activities. This lead serves as a senior partner to the CISO, translating the company’s long-term security strategy into an operating model that can withstand hypergrowth and the unique demands of a frontier AI company.\n\nSitting at the intersection of infrastructure security, enterprise operations, and strategic risk, this role is uniquely positioned to shape how Reflection understands and manages its security posture as it scales. The ideal candidate is both a strategic architect and a hands-on operator — equally capable of defining security standards for neocloud environments and standing up physical controls for a new data center deployment. They bring deep technical fluency across cloud, infrastructure, and AI compute environments, and the executive presence to represent Reflection’s security posture to customers, regulators, investors, and government stakeholders.\n\nThis is a high-visibility, high-impact role with broad organizational reach. Success requires the ability to build security programs from scratch, scale them through periods of rapid change, and maintain operational excellence across a complex, globally distributed technology footprint.\n\n\n\n\nWHAT YOU'LL DO\n\nSenior CISO Partnership & Security Strategy\n\n - Help define and execute the company’s long-term security strategy and security operating model.\n\n - Support the CISO and CSO in representing security leadership with customers, auditors, investors, regulators, government officials, and executive stakeholders.\n\n - Recruit, develop, and mentor world-class security and technology professionals.\n\n - Balance strategic leadership with hands-on execution as organizational needs evolve.\n\nData Center & Physical Security\n\n - Own security strategy for data centers, colocation facilities, and infrastructure operations globally.\n\n - Partner with infrastructure and site operations teams to embed security throughout the data center lifecycle, including site selection, design, commissioning, and operations.\n\n - Define standards for physical access controls, surveillance systems, asset protection, hardware handling, and operational resilience.\n\nCloud & NeoCloud Security\n\n - Own the security strategy, configuration requirements, and governance for neocloud infrastructure that each facility must follow to host Reflection workloads.\n\n - Develop and enforce security design standards for third-party neocloud environments to integrate with Reflection’s corporate and engineering workflows, including incident response and vulnerability management.\n\n - Lead technical assessments of neocloud first- and third-party deployments for ongoing assurance — validating security posture, identifying gaps, and driving remediation to meet Reflection’s security guarantees and customer contractual obligations.\n\n - Own security contractual negotiations with neocloud providers to ensure all Reflection security requirements are contractually defined, enforceable, and aligned with the company’s product offerings and regulatory expectations.\n\nMergers, Acquisitions & Strategic Growth\n\n - Partner with the CISO to lead security and technology due diligence for acquisitions, investments, and strategic partnerships.\n\n - Partner with Reflection’s Risk Leader to identify security, infrastructure, compliance, privacy, and operational risks associated with target organizations.\n\n - Drive post-acquisition security integration and modernization initiatives across enterprise security and corporate technology.\n\nVendor Risk & Strategic Procurement\n\n - Develop and own security strategy, review processes, and approval workflows for software, SaaS, cloud services, hardware suppliers, and strategic technology purchases.\n\n - Build and operate vendor security assessment and third-party risk management programs.\n\n - Partner with Legal and Finance on contract negotiations, security requirements, privacy obligations, and risk transfer mechanisms on both buy and sell sides.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\nExperience & Background\n\n - 12+ years of experience across cybersecurity, infrastructure security, enterprise technology, or related fields.\n\n - Proven track record of building security programs from the ground up within startups, AI companies, cloud providers, hyperscalers, or hypergrowth technology organizations.\n\n - Demonstrated success scaling teams and organizations from 0→1 and 1→N.\n\n - Experience securing AI infrastructure and running security operations for GPU compute environments.\n\n - Experience working within or alongside neocloud providers, hyperscalers, colocation operators, or large-scale physical cloud infrastructure organizations.\n\n - Experience leading vendor risk programs, procurement security reviews, and legal contract negotiations.\n\n - Familiarity supporting SOC 2, ISO 27001, FedRAMP, ISO 22237, ISO 22301, NIST CSF, customer audits, and enterprise security reviews.\n\nSkills & Capabilities\n\n - Technical depth across cloud and infrastructure security, Kubernetes and container security, Zero Trust architectures, identity and access management, detection and response technologies, and security automation and orchestration.\n\n - Ability to design and communicate security standards, architecture decisions, and risk trade-offs to both technical and non-technical audiences.\n\n - Strong operational judgment — capable of defining security policy and implementing controls directly when organizational needs require it.\n\n - Proven ability to manage complex vendor relationships, negotiate security-oriented contractual terms, and hold third parties accountable to defined standards.\n\n - Track record of building and maturing physical and data center security programs at scale.\n\nMindset & Approach\n\n - A security practitioner who operates with both technical rigor and pragmatic judgment — focused on building programs that are operationally effective, not just technically sound.\n\n - Equally comfortable in the boardroom and the server room — capable of representing Reflection’s security posture to executive stakeholders and regulators while remaining deeply fluent in the technical details.\n\n - Highly collaborative and organizationally astute, with the ability to build trusted relationships across engineering, legal, risk, and business functions.\n\n - Motivated by building — energized by creating security infrastructure from scratch in a fast-moving environment where the stakes are high and the work is genuinely novel.\n\n - Committed to the mission — understands the unique security responsibilities of a frontier AI company and approaches the work with the seriousness it demands.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"bec3d2a4-76e6-497e-9e2e-1c4ad0307125","title":"Head of Marketing","department":"Corporate Affairs","team":"Marketing","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-07-15T18:44:10.613+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/bec3d2a4-76e6-497e-9e2e-1c4ad0307125","applyUrl":"https://jobs.ashbyhq.com/reflectionai/bec3d2a4-76e6-497e-9e2e-1c4ad0307125/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
We are looking for a seasoned marketing leader to build and lead Reflection’s marketing organization.
This role will own Reflection’s overall marketing strategy and execution across corporate marketing, product and growth marketing, sales enablement, brand partnerships, and beyond. They will translate company priorities into a focused marketing roadmap, establish the systems and processes required to execute it, and ensure the function is delivering measurable impact across the business.
The ideal candidate is both a builder and an operator: someone who can develop a marketing strategy for a highly technical company while also establishing the infrastructure, team, and executional rigor needed to bring it to life.
Develop Reflection’s overall marketing strategy and priorities in close partnership with the founders and company leadership as the company scales
Define the scope, structure, priorities, reporting, and operating model for the marketing organization as you build and lead the team
Oversee a full-range marketing team spanning creative storytelling and campaigns, channels, product marketing, and more – all in service of raising brand awareness and driving product adoption
Develop audience strategies for the distinct groups Reflection needs to reach, including developers, researchers, enterprise leaders, government stakeholders, technology partners, prospective employees, and the broader AI ecosystem
Establish annual and quarterly planning processes, operating cadences, and mechanisms for prioritizing opportunities for the marketing function
Serve as a cross-functional leader, working closely with the team across research, product, GTM, and more
12+ years of experience, including significant experience building, scaling, and leading marketing teams
A strong track record in marketing for technical and/or community-driven brands
Experience developing an integrated marketing strategy across product marketing, performance marketing, brand, creative storytelling and beyond
Strong operational leadership, including ownership of planning, budgets, and measurement systems
Comfort with ambiguity and speed: this role is being built from the ground up, as the company scales, so you’ll be building the playbook and team as you go
Excellent cross-functional and executive-level judgment, with experience partnering closely with senior leaders across the business
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\n\nTHE ROLE\n\nWe are looking for a seasoned marketing leader to build and lead Reflection’s marketing organization.\n\nThis role will own Reflection’s overall marketing strategy and execution across corporate marketing, product and growth marketing, sales enablement, brand partnerships, and beyond. They will translate company priorities into a focused marketing roadmap, establish the systems and processes required to execute it, and ensure the function is delivering measurable impact across the business. \n\nThe ideal candidate is both a builder and an operator: someone who can develop a marketing strategy for a highly technical company while also establishing the infrastructure, team, and executional rigor needed to bring it to life.\n\n\n\n\nWHAT YOU'LL DO\n\n - Develop Reflection’s overall marketing strategy and priorities in close partnership with the founders and company leadership as the company scales\n\n - Define the scope, structure, priorities, reporting, and operating model for the marketing organization as you build and lead the team\n\n - Oversee a full-range marketing team spanning creative storytelling and campaigns, channels, product marketing, and more – all in service of raising brand awareness and driving product adoption\n\n - Develop audience strategies for the distinct groups Reflection needs to reach, including developers, researchers, enterprise leaders, government stakeholders, technology partners, prospective employees, and the broader AI ecosystem\n\n - Establish annual and quarterly planning processes, operating cadences, and mechanisms for prioritizing opportunities for the marketing function\n\n - Serve as a cross-functional leader, working closely with the team across research, product, GTM, and more\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 12+ years of experience, including significant experience building, scaling, and leading marketing teams\n\n - A strong track record in marketing for technical and/or community-driven brands\n\n - Experience developing an integrated marketing strategy across product marketing, performance marketing, brand, creative storytelling and beyond\n\n - Strong operational leadership, including ownership of planning, budgets, and measurement systems\n\n - Comfort with ambiguity and speed: this role is being built from the ground up, as the company scales, so you’ll be building the playbook and team as you go\n\n - Excellent cross-functional and executive-level judgment, with experience partnering closely with senior leaders across the business\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"90f44c78-5612-40ca-91b8-71575d774cf9","title":"Member of Technical Staff - Engineering Lead, Data Ingestion","department":"Research","team":"Data Acquisition","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-07-21T08:19:38.858+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/90f44c78-5612-40ca-91b8-71575d774cf9","applyUrl":"https://jobs.ashbyhq.com/reflectionai/90f44c78-5612-40ca-91b8-71575d774cf9/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection's Data team builds the training corpora our frontier models learn from. Before a model can learn anything, the data has to be found, fetched, extracted, and delivered reliably, responsibly, and at enormous scale. The ingestion layer is the machinery that turns the open web, licensed corpora, and other large-scale sources into well-structured, versioned, auditable datasets for pre-training.
As Data Ingestion Lead, you'll provide front-line leadership of the team that builds this layer, spanning all three of its pillars web crawl, data ingestion pipelines, and data lakes. You'll build, mentor, and grow a team of data ingestion engineers, guide the technical and architectural decisions across crawling, extraction, and corpus storage/delivery, and work closely with the pre-training research, data quality, and data partnerships teams that depend on what you ship. You'll stay close enough to the stack to make targeted contributions as an individual contributor and to maintain a deep understanding of the team's technical work. Subtle decisions at the ingestion layer what we crawl, how we extract, what we keep ripple through training and directly affect where our models are strong, safe, and where they fail.
Build, mentor, and grow a high-performing team of data ingestion engineers. Coach and support your reports in understanding, and pursuing, their professional growth.
Provide front-line leadership across the full ingestion stack — web crawling and acquisition, extraction and normalization pipelines, and the data lakes that version and deliver training corpora and the campaigns that run across all three.
Stay hands-on: become familiar with the team's technical stack enough to make targeted contributions as an individual contributor.
Manage day-to-day execution: prioritize the team's work and run data acquisition and ingestion campaigns in a highly dynamic, fast-paced environment.
Guide technical and architectural decisions, emphasizing scalability, reliability, auditability, and cost crawler architecture and politeness/scheduling, distributed processing (Ray/Beam/Spark), orchestration (Airflow/Prefect), storage formats and layout (Parquet, JSONL, WARC; object stores and lakehouse formats), deduplication, and dataset versioning and delivery.
Close the loop with research: partner with pre-training and data quality teams to tie ingestion decisions to measurable downstream model impact, and run experiments to evaluate crawling strategies, extraction methods, and ingestion tradeoffs.
Work across the wider data effort data partnerships, digitization operations, and external vendors to onboard new sources within legal, licensing, and robots.txt constraints.
Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.
Experience building, mentoring, and growing data or infrastructure engineering teams while staying technically hands-on. (Comfortable growing into leading a larger team quickly if you haven't managed at that scale before.)
Deep experience building web-scale data acquisition or ingestion systems, with real ownership of production-grade pipelines at multi-TB to PB scale.
Strong coding ability and the credibility to earn the technical trust of a strong team.
Deep expertise in at least one of: web crawling & acquisition, large-scale extraction & ingestion pipelines, or data lakes / corpus storage & delivery with working knowledge across the others, and the ability to learn the rest.
Fluency with the modern large-scale data toolkit: distributed compute (Ray, Beam, Spark), orchestration (Airflow, Prefect), formats (Parquet, JSONL, WARC), and object-store / data-lake architectures.
Familiarity with how LLMs are trained and evaluated, and an intuition for what makes data useful for training; comfortable designing experiments and using proxy quality signals to guide system improvements.
Ability to guide strategy and drive execution across concurrent data campaigns, and to partner effectively with research teams, external data vendors, and partnerships/legal on acquisition.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\nABOUT THE ROLE\n\nReflection's Data team builds the training corpora our frontier models learn from. Before a model can learn anything, the data has to be found, fetched, extracted, and delivered reliably, responsibly, and at enormous scale. The ingestion layer is the machinery that turns the open web, licensed corpora, and other large-scale sources into well-structured, versioned, auditable datasets for pre-training.\n\n\n\nAs Data Ingestion Lead, you'll provide front-line leadership of the team that builds this layer, spanning all three of its pillars web crawl, data ingestion pipelines, and data lakes. You'll build, mentor, and grow a team of data ingestion engineers, guide the technical and architectural decisions across crawling, extraction, and corpus storage/delivery, and work closely with the pre-training research, data quality, and data partnerships teams that depend on what you ship. You'll stay close enough to the stack to make targeted contributions as an individual contributor and to maintain a deep understanding of the team's technical work. Subtle decisions at the ingestion layer what we crawl, how we extract, what we keep ripple through training and directly affect where our models are strong, safe, and where they fail.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build, mentor, and grow a high-performing team of data ingestion engineers. Coach and support your reports in understanding, and pursuing, their professional growth.\n\n - Provide front-line leadership across the full ingestion stack — web crawling and acquisition, extraction and normalization pipelines, and the data lakes that version and deliver training corpora and the campaigns that run across all three.\n\n - Stay hands-on: become familiar with the team's technical stack enough to make targeted contributions as an individual contributor.\n\n - Manage day-to-day execution: prioritize the team's work and run data acquisition and ingestion campaigns in a highly dynamic, fast-paced environment.\n\n - Guide technical and architectural decisions, emphasizing scalability, reliability, auditability, and cost crawler architecture and politeness/scheduling, distributed processing (Ray/Beam/Spark), orchestration (Airflow/Prefect), storage formats and layout (Parquet, JSONL, WARC; object stores and lakehouse formats), deduplication, and dataset versioning and delivery.\n\n - Close the loop with research: partner with pre-training and data quality teams to tie ingestion decisions to measurable downstream model impact, and run experiments to evaluate crawling strategies, extraction methods, and ingestion tradeoffs.\n\n - Work across the wider data effort data partnerships, digitization operations, and external vendors to onboard new sources within legal, licensing, and robots.txt constraints.\n\n - Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience building, mentoring, and growing data or infrastructure engineering teams while staying technically hands-on. (Comfortable growing into leading a larger team quickly if you haven't managed at that scale before.)\n\n - Deep experience building web-scale data acquisition or ingestion systems, with real ownership of production-grade pipelines at multi-TB to PB scale.\n\n - Strong coding ability and the credibility to earn the technical trust of a strong team.\n\n - Deep expertise in at least one of: web crawling & acquisition, large-scale extraction & ingestion pipelines, or data lakes / corpus storage & delivery with working knowledge across the others, and the ability to learn the rest.\n\n - Fluency with the modern large-scale data toolkit: distributed compute (Ray, Beam, Spark), orchestration (Airflow, Prefect), formats (Parquet, JSONL, WARC), and object-store / data-lake architectures.\n\n - Familiarity with how LLMs are trained and evaluated, and an intuition for what makes data useful for training; comfortable designing experiments and using proxy quality signals to guide system improvements.\n\n - Ability to guide strategy and drive execution across concurrent data campaigns, and to partner effectively with research teams, external data vendors, and partnerships/legal on acquisition.\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"239d357b-806f-4d36-9eb8-9e95ba05a120","title":"Member of Technical Staff - Research Software Engineer - Safety Evaluations Infrastructure","department":"Research","team":"Safety","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-07-27T14:09:52.421+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/239d357b-806f-4d36-9eb8-9e95ba05a120","applyUrl":"https://jobs.ashbyhq.com/reflectionai/239d357b-806f-4d36-9eb8-9e95ba05a120/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
As a Research Software Engineer on the Safety team, you will design, build, and own the infrastructure used to run our most sensitive model evaluations — including evaluations in CBRN (chemical, biological, radiological, and nuclear), child safety, and other dangerous-capability domains. These evaluations inform release decisions for our open models, so the systems you build must be secure, isolated, reproducible, and trustworthy under scrutiny.
This is a deeply technical, high-ownership role at the intersection of platform engineering, security, and safety research. You will partner closely with domain experts, legal, and safety researchers to turn their evaluation needs into robust, scalable infrastructure: sandboxed execution environments, controlled data pipelines for sensitive material, access controls, audit logging, and the tooling that lets researchers safely elicit and measure model capabilities in high-consequence areas.
Design and build secure, sandboxed infrastructure for running sensitive model evaluations, including CBRN and other dangerous-capability domains.
Build controlled data pipelines and storage for sensitive evaluation material, applying least-privilege and need-to-know access, role-based access control (RBAC), encryption at rest and in transit, audit logging, and data-minimization safeguards.
Partner with safety researchers and domain experts to translate evaluation designs into reliable, reproducible, and scalable systems.
Build eval-orchestration tooling and harnesses that let researchers run high-throughput evaluations against models and agents in isolated environments.
Develop infrastructure for measuring AI capability uplift in high-consequence domains, and integrate results into the pipelines that inform release decisions.
Implement guardrails, monitoring, and compartmentalization so sensitive work stays appropriately siloed, applying least-privilege, need-to-know, and defense-in-depth principles across compute, data, and tooling.
Write production-quality Python (and related tooling) for high-throughput data processing and evaluation systems.
Improve the reliability, security posture, and developer experience of the safety team's evaluation platform over time.
Strong software engineering skills, particularly in Python, with a track record of building reliable, scalable infrastructure or platform systems.
Experience building sandboxed, isolated, or otherwise security-sensitive execution environments (e.g., containerization, VM isolation, secure compute) for Trust and Safety teams.
Solid grounding in security engineering fundamentals: principle of least privilege, need-to-know access, role-based access control (RBAC), secrets management, encryption, audit logging, compartmentalization, and defense-in-depth design.
Experience building data pipelines and handling sensitive or restricted data with appropriate safeguards.
Ability to own entire problems end-to-end, including ambiguous, cross-functional ones.
Comfort working on sensitive projects that require discretion, integrity, and sound judgment.
Thrive in a fast-paced, high-agency startup environment with a bias toward action.
Experience building evaluation, benchmarking, or experimentation infrastructure for ML systems.
Experience working with LLMs, agents, or ML training/inference pipelines.
Familiarity with dangerous-capability or dual-use domains (CBRN, cyber, etc.) and the information-security considerations they involve.
Familiarity with compliance frameworks relevant to sensitive data handling.
We encourage you to apply even if you don't meet every qualification. Not all strong candidates will match every item listed.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\nOUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nAs a Research Software Engineer on the Safety team, you will design, build, and own the infrastructure used to run our most sensitive model evaluations — including evaluations in CBRN (chemical, biological, radiological, and nuclear), child safety, and other dangerous-capability domains. These evaluations inform release decisions for our open models, so the systems you build must be secure, isolated, reproducible, and trustworthy under scrutiny.\n\n\n\nThis is a deeply technical, high-ownership role at the intersection of platform engineering, security, and safety research. You will partner closely with domain experts, legal, and safety researchers to turn their evaluation needs into robust, scalable infrastructure: sandboxed execution environments, controlled data pipelines for sensitive material, access controls, audit logging, and the tooling that lets researchers safely elicit and measure model capabilities in high-consequence areas.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and build secure, sandboxed infrastructure for running sensitive model evaluations, including CBRN and other dangerous-capability domains.\n\n - Build controlled data pipelines and storage for sensitive evaluation material, applying least-privilege and need-to-know access, role-based access control (RBAC), encryption at rest and in transit, audit logging, and data-minimization safeguards.\n\n - Partner with safety researchers and domain experts to translate evaluation designs into reliable, reproducible, and scalable systems.\n\n - Build eval-orchestration tooling and harnesses that let researchers run high-throughput evaluations against models and agents in isolated environments.\n\n - Develop infrastructure for measuring AI capability uplift in high-consequence domains, and integrate results into the pipelines that inform release decisions.\n\n - Implement guardrails, monitoring, and compartmentalization so sensitive work stays appropriately siloed, applying least-privilege, need-to-know, and defense-in-depth principles across compute, data, and tooling.\n\n - Write production-quality Python (and related tooling) for high-throughput data processing and evaluation systems.\n\n - Improve the reliability, security posture, and developer experience of the safety team's evaluation platform over time.\n\n\nABOUT YOU\n\n - Strong software engineering skills, particularly in Python, with a track record of building reliable, scalable infrastructure or platform systems.\n\n - Experience building sandboxed, isolated, or otherwise security-sensitive execution environments (e.g., containerization, VM isolation, secure compute) for Trust and Safety teams.\n\n - Solid grounding in security engineering fundamentals: principle of least privilege, need-to-know access, role-based access control (RBAC), secrets management, encryption, audit logging, compartmentalization, and defense-in-depth design.\n\n - Experience building data pipelines and handling sensitive or restricted data with appropriate safeguards.\n\n - Ability to own entire problems end-to-end, including ambiguous, cross-functional ones.\n\n - Comfort working on sensitive projects that require discretion, integrity, and sound judgment.\n\n - Thrive in a fast-paced, high-agency startup environment with a bias toward action.\n\n\n\n\nSTRONG CANDIDATES MAY ALSO HAVE\n\n - Experience building evaluation, benchmarking, or experimentation infrastructure for ML systems.\n\n - Experience working with LLMs, agents, or ML training/inference pipelines.\n\n - Familiarity with dangerous-capability or dual-use domains (CBRN, cyber, etc.) and the information-security considerations they involve.\n\n - Familiarity with compliance frameworks relevant to sensitive data handling.\n\n\n\nWe encourage you to apply even if you don't meet every qualification. Not all strong candidates will match every item listed.\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"909327cb-5142-4ef5-976b-8bba3383d71b","title":"Subject Matter Expert - Election Integrity, Violent Extremism, and Fraud ","department":"Research","team":"Safety","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"Washington, D.C.","address":{"postalAddress":{"addressRegion":"Washington, D.C.","addressCountry":"United States","addressLocality":"Washington, D.C."}}}],"publishedAt":"2026-08-03T22:20:14.941+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/909327cb-5142-4ef5-976b-8bba3383d71b","applyUrl":"https://jobs.ashbyhq.com/reflectionai/909327cb-5142-4ef5-976b-8bba3383d71b/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
As a Subject Matter Expert, Election Integrity, Violent Extremism, & Fraud, you are our internal authority on preventing, detecting, and responding to election-related manipulation (e.g., coordinated influence operations, voter suppression content, fabricated or misleading claims about voting), terrorist and violent extremist content (TVEC), and fraud and deception (e.g., scams, phishing, impersonation, financial fraud, and other deceptive schemes) generated or facilitated through Reflection's models and products. You will define how the lab thinks about these harms, translate that expertise into concrete enforcement workflows and detection strategies, and act as a critical gatekeeper ensuring our open releases meet our commitments in these areas.
You will own election integrity, violent extremism, and fraud evaluations, human grading, auto-grading, and enforcement end to end: standing up and scaling review workflows, serving as the primary point of contact for those who conduct content review, as well as conducting them yourself, driving model launch evals on novel or ambiguous cases, and partnering closely with our technical Safety team, Alignment, Policy, and Legal teams to close gaps as the threat landscape evolves. You will also represent Reflection's work in these areas externally with reporting bodies, NGOs, researchers, election officials, financial-sector and anti-fraud partners, and, where appropriate, law enforcement.
In this position you will regularly be exposed to and engage with content that may be violent, graphic, hateful, or psychologically disturbing, including terrorist and violent extremist material and depictions of real-world violence. You may also review deceptive and fraudulent material, including content designed to defraud or harm vulnerable people. Reflection takes the wellbeing of team members working in this area seriously. We ask candidates to consider this aspect of the role carefully before applying.
Serve as Reflection's internal subject matter expert on election integrity, coordinated influence operations, terrorism and violent extremism, and fraud and deception, and set the standards, definitions, and escalation thresholds the lab operates against.
Partner with Safety research,Safety postraining, and Safety Evals teams to create new automated evaluations.
Own the day-to-day operation of election integrity, violent extremism, and fraud content evaluation and review workflows, including task routing, queue management, quality assurance, escalation handling, and SLA monitoring.
Serve as the primary point of contact for review partners conducting this content review, including onboarding, training, calibration, and ongoing support.
Review novel or ambiguous flagged content to drive enforcement decisions, and surface policy and product gaps to the Alignment, Safety, and Policy teams.
Partner with engineering to design, evaluate, and improve detection models, hash-matching pipelines (e.g., known-terrorist-content databases), fraud and abuse detection systems, and automated enforcement systems, and to build these considerations into our pre-release evaluation and red-teaming process.
Validate that models meet Reflection's election integrity, violent extremism, and fraud risk thresholds before open weights ship.
Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate, consistent enforcement at scale.
Identify and report emerging misuse patterns and threat actor behavior to internal stakeholders across the company.
Coordinate reporting and information-sharing obligations to relevant external bodies (e.g., GIFCT, election authorities, anti-fraud and financial-sector partners) in accordance with applicable law and Reflection policy.
Stay current on evolving legal frameworks, enforcement best practices, and threat-detection technology, and use these to keep our workflows ahead of the threat landscape, including through major election cycles worldwide and fast-moving fraud and scam trends.
Deep subject matter expertise in one or more of: election integrity, disinformation and influence operations, counterterrorism and violent extremism, or fraud and deception (e.g., scams, phishing, impersonation, financial fraud).
Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to election-related harms, terrorist or violent extremist content, fraud, or related harm areas.
Experience managing or coordinating content review operations, including quality assurance and workflow management.
Experience standing up and scaling policy enforcement or content review workflows.
Proficiency in SQL and/or other data analysis tools to monitor workflow health, review-queue metrics, and enforcement trends.
Track record of identifying emerging risks and communicating findings clearly to cross-functional stakeholders across Product, Policy, Engineering, and Legal.
Sound judgment under time pressure and comfort making high-stakes decisions, including ones that affect whether a model ships.
Familiarity with content classification frameworks for terrorist and violent extremist material, with influence-operation taxonomies (e.g., ABCDE / DISARM frameworks), and with common fraud and scam typologies.
Familiarity with relevant legal and regulatory frameworks, including the EU Digital Services Act, the EU TCO Regulation, election-related transparency laws, consumer-protection and anti-fraud regulations, or equivalent international frameworks.
Experience with generative AI products and an understanding of how AI systems can be misused to generate or facilitate influence operations, violent extremism, or fraud.
Experience with hash-matching or perceptual hashing technologies used in detecting known violent extremist content.
Familiarity with provenance and content-authenticity technologies (e.g., C2PA) and their role in election integrity and anti-fraud efforts.
Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers.
Proficiency in Python for workflow automation or data analysis.
Additional language proficiency beyond English.
We encourage you to apply even if you don't meet every qualification. Not all strong candidates will meet every item listed, and we'd rather hear from you than have you exclude yourself prematurely.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nAs a Subject Matter Expert, Election Integrity, Violent Extremism, & Fraud, you are our internal authority on preventing, detecting, and responding to election-related manipulation (e.g., coordinated influence operations, voter suppression content, fabricated or misleading claims about voting), terrorist and violent extremist content (TVEC), and fraud and deception (e.g., scams, phishing, impersonation, financial fraud, and other deceptive schemes) generated or facilitated through Reflection's models and products. You will define how the lab thinks about these harms, translate that expertise into concrete enforcement workflows and detection strategies, and act as a critical gatekeeper ensuring our open releases meet our commitments in these areas.\n\nYou will own election integrity, violent extremism, and fraud evaluations, human grading, auto-grading, and enforcement end to end: standing up and scaling review workflows, serving as the primary point of contact for those who conduct content review, as well as conducting them yourself, driving model launch evals on novel or ambiguous cases, and partnering closely with our technical Safety team, Alignment, Policy, and Legal teams to close gaps as the threat landscape evolves. You will also represent Reflection's work in these areas externally with reporting bodies, NGOs, researchers, election officials, financial-sector and anti-fraud partners, and, where appropriate, law enforcement.\n\nIn this position you will regularly be exposed to and engage with content that may be violent, graphic, hateful, or psychologically disturbing, including terrorist and violent extremist material and depictions of real-world violence. You may also review deceptive and fraudulent material, including content designed to defraud or harm vulnerable people. Reflection takes the wellbeing of team members working in this area seriously. We ask candidates to consider this aspect of the role carefully before applying.\n\n\n\n\nWHAT YOU'LL DO\n\n - Serve as Reflection's internal subject matter expert on election integrity, coordinated influence operations, terrorism and violent extremism, and fraud and deception, and set the standards, definitions, and escalation thresholds the lab operates against.\n\n - Partner with Safety research,Safety postraining, and Safety Evals teams to create new automated evaluations.\n\n - Own the day-to-day operation of election integrity, violent extremism, and fraud content evaluation and review workflows, including task routing, queue management, quality assurance, escalation handling, and SLA monitoring.\n\n - Serve as the primary point of contact for review partners conducting this content review, including onboarding, training, calibration, and ongoing support.\n\n - Review novel or ambiguous flagged content to drive enforcement decisions, and surface policy and product gaps to the Alignment, Safety, and Policy teams.\n\n - Partner with engineering to design, evaluate, and improve detection models, hash-matching pipelines (e.g., known-terrorist-content databases), fraud and abuse detection systems, and automated enforcement systems, and to build these considerations into our pre-release evaluation and red-teaming process.\n\n - Validate that models meet Reflection's election integrity, violent extremism, and fraud risk thresholds before open weights ship.\n\n - Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate, consistent enforcement at scale.\n\n - Identify and report emerging misuse patterns and threat actor behavior to internal stakeholders across the company.\n\n - Coordinate reporting and information-sharing obligations to relevant external bodies (e.g., GIFCT, election authorities, anti-fraud and financial-sector partners) in accordance with applicable law and Reflection policy.\n\n - Stay current on evolving legal frameworks, enforcement best practices, and threat-detection technology, and use these to keep our workflows ahead of the threat landscape, including through major election cycles worldwide and fast-moving fraud and scam trends.\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\n - Deep subject matter expertise in one or more of: election integrity, disinformation and influence operations, counterterrorism and violent extremism, or fraud and deception (e.g., scams, phishing, impersonation, financial fraud).\n\n - Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to election-related harms, terrorist or violent extremist content, fraud, or related harm areas.\n\n - Experience managing or coordinating content review operations, including quality assurance and workflow management.\n\n - Experience standing up and scaling policy enforcement or content review workflows.\n\n - Proficiency in SQL and/or other data analysis tools to monitor workflow health, review-queue metrics, and enforcement trends.\n\n - Track record of identifying emerging risks and communicating findings clearly to cross-functional stakeholders across Product, Policy, Engineering, and Legal.\n\n - Sound judgment under time pressure and comfort making high-stakes decisions, including ones that affect whether a model ships.\n\n - Familiarity with content classification frameworks for terrorist and violent extremist material, with influence-operation taxonomies (e.g., ABCDE / DISARM frameworks), and with common fraud and scam typologies.\n\n - Familiarity with relevant legal and regulatory frameworks, including the EU Digital Services Act, the EU TCO Regulation, election-related transparency laws, consumer-protection and anti-fraud regulations, or equivalent international frameworks.\n\n - Experience with generative AI products and an understanding of how AI systems can be misused to generate or facilitate influence operations, violent extremism, or fraud.\n\n - Experience with hash-matching or perceptual hashing technologies used in detecting known violent extremist content.\n\n - Familiarity with provenance and content-authenticity technologies (e.g., C2PA) and their role in election integrity and anti-fraud efforts.\n\n - Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers.\n\n - Proficiency in Python for workflow automation or data analysis.\n\n - Additional language proficiency beyond English.\n\nWe encourage you to apply even if you don't meet every qualification. Not all strong candidates will meet every item listed, and we'd rather hear from you than have you exclude yourself prematurely.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"266c76bf-7353-40e1-a2e6-8dd3187ec52c","title":"Member of Technical Staff, Data Flywheel","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-08-25T20:49:34.492+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/266c76bf-7353-40e1-a2e6-8dd3187ec52c","applyUrl":"https://jobs.ashbyhq.com/reflectionai/266c76bf-7353-40e1-a2e6-8dd3187ec52c/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
The Data Flywheel team closes the gap between benchmark performance and useful performance in the real world. We identify and build the signals, data, and feedback loops that turn model usage into rigorous evaluations, targeted training data, and measurable improvements in future generations of models.
This is a hands-on technical role at the intersection of research and deployment. You'll take ambiguous model behaviors from first observation through measurement, intervention, and validated improvement, working across evaluation, human and synthetic data, infrastructure, post-training, and live deployments. You'll collaborate closely with researchers and engineers across the company, as well as customers, partners, vendors, and the open-source community.
Identify high-value data sources and partnership opportunities, deeply understand the underlying use cases, and translate them into representative evaluations
Bring new data sources online, from initial partner conversations and data scoping through quality validation and integration into production evaluation and training pipelines, where appropriate
Design and build evaluations, graders, and feedback loops that make priority real-world model behaviors measurable
Analyze model performance and failure modes, then translate those insights into targeted datasets, reward signals, and training interventions
Develop human and synthetic data strategies for capabilities where existing data is insufficient, including designing and running evaluation and data-collection programs with vendors
Build the infrastructure and pipelines needed to ingest, inspect, version, and evaluate data reliably at scale
Collaborate closely with pre-training, post-training, applied, and partnership teams to turn new signals into measurable model improvements
Degree (BS, MS, or PhD) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience
Deep technical understanding of LLM training and evaluation, with hands-on experience in areas such as evaluation design, data curation, reinforcement learning, or reward design
Strong software engineering skills and experience building automated data/evaluation pipelines or large-scale ML systems
A track record of owning high-impact projects end to end, navigating ambiguity, and adapting quickly as priorities change
A highly collaborative, action-oriented approach and excitement about defining how a new frontier lab measures and accelerates model progress
High agency and thrive in a fast-paced startup environment; bias for impact over process
Enjoy collaborating across research, engineering, operations, and product disciplines
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nThe Data Flywheel team closes the gap between benchmark performance and useful performance in the real world. We identify and build the signals, data, and feedback loops that turn model usage into rigorous evaluations, targeted training data, and measurable improvements in future generations of models.\n\n\n\nThis is a hands-on technical role at the intersection of research and deployment. You'll take ambiguous model behaviors from first observation through measurement, intervention, and validated improvement, working across evaluation, human and synthetic data, infrastructure, post-training, and live deployments. You'll collaborate closely with researchers and engineers across the company, as well as customers, partners, vendors, and the open-source community.\n\n\n\n\nWHAT YOU’LL DO\n\n - Identify high-value data sources and partnership opportunities, deeply understand the underlying use cases, and translate them into representative evaluations\n\n - Bring new data sources online, from initial partner conversations and data scoping through quality validation and integration into production evaluation and training pipelines, where appropriate\n\n - Design and build evaluations, graders, and feedback loops that make priority real-world model behaviors measurable\n\n - Analyze model performance and failure modes, then translate those insights into targeted datasets, reward signals, and training interventions\n\n - Develop human and synthetic data strategies for capabilities where existing data is insufficient, including designing and running evaluation and data-collection programs with vendors\n\n - Build the infrastructure and pipelines needed to ingest, inspect, version, and evaluate data reliably at scale\n\n - Collaborate closely with pre-training, post-training, applied, and partnership teams to turn new signals into measurable model improvements\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - Degree (BS, MS, or PhD) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience\n\n - Deep technical understanding of LLM training and evaluation, with hands-on experience in areas such as evaluation design, data curation, reinforcement learning, or reward design\n\n - Strong software engineering skills and experience building automated data/evaluation pipelines or large-scale ML systems\n\n - A track record of owning high-impact projects end to end, navigating ambiguity, and adapting quickly as priorities change\n\n - A highly collaborative, action-oriented approach and excitement about defining how a new frontier lab measures and accelerates model progress\n\n - High agency and thrive in a fast-paced startup environment; bias for impact over process\n\n - Enjoy collaborating across research, engineering, operations, and product disciplines\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"1d256249-5bae-42de-9238-368e8f2ad864","title":"Sovereign Deal Lead","department":"Sovereign","team":"Sovereign","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-08-28T20:33:31.290+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/1d256249-5bae-42de-9238-368e8f2ad864","applyUrl":"https://jobs.ashbyhq.com/reflectionai/1d256249-5bae-42de-9238-368e8f2ad864/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection partners with governments, sovereign-backed enterprises, and major conglomerates to build region-scale AI infrastructure and inference businesses—deals worth nine to ten figures that have no template. For many of these organizations, AI is not simply a technology investment; it is a new revenue stream and an opportunity to become a region-leading provider of AI infrastructure and services. These engagements require strategic commercial leaders to structure deals, navigate complex organizations, and connect technical capability to a credible business model across infrastructure, deployment, distribution, and expansion.
This role requires the executive presence to operate with chairs and CEOs, the creativity to shape partnerships that do not yet have a standard template, and the operating discipline to carry them from initial vision through signed agreement and deployment.
Lead large-scale engagements end-to-end—from executive vision and business-case development through evaluation, commercial negotiation, deployment, and expansion.
Build and deepen trusted relationships with boards, C-Suite leaders, and technical teams, and communicate their priorities back into the company.
Navigate complex enterprise structures (e.g., conglomerates) to find where authority, budget, data, infrastructure, and operating leverage sit across the parent company, shared-service organizations, and portfolio businesses.
Translate advanced open-weight LLMs and token factory software offerings into strategic and financial outcomes by connecting model capability, customization, proprietary data, infrastructure, security, governance, and support.
Position Reflection as a long-term strategic AI partner across opportunities such as enterprise agents, software engineering, R&D, industrial operations, supply chains, and customer experiences.
Run disciplined account planning, qualification, value modeling, pricing, forecasting, executive sponsorship, and post-sale expansion for your strategic engagements.
A track record of creating, shaping, and closing complex, multi-year agreements—likely contributing seven-figure+ revenue or comparable strategic importance.
Executive presence, exceptional communication, and a hands-on operating style; comfortable engaging a chair or CEO, working through architecture with technical leaders, improving a proposal, and moving a difficult deal forward.
Proven ability to navigate federated organizations with multiple business units, competing priorities, shared services, complex procurement, and both corporate and operating-company decision-makers.
Technical credibility selling AI/ML, cloud, data infrastructure, cybersecurity, developer platforms, or complex technology to large strategic customers.
Strong commercial mindset with demonstrated ability to build an executive-level business case, structure enterprise agreements, and connect technical adoption to measurable operating outcomes.
Experience operating across cultures and geographies, with the willingness to travel extensively for customers and partners.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nEXECUTIVE SUMMARY\n\nReflection partners with governments, sovereign-backed enterprises, and major conglomerates to build region-scale AI infrastructure and inference businesses—deals worth nine to ten figures that have no template. For many of these organizations, AI is not simply a technology investment; it is a new revenue stream and an opportunity to become a region-leading provider of AI infrastructure and services. These engagements require strategic commercial leaders to structure deals, navigate complex organizations, and connect technical capability to a credible business model across infrastructure, deployment, distribution, and expansion.\n\nThis role requires the executive presence to operate with chairs and CEOs, the creativity to shape partnerships that do not yet have a standard template, and the operating discipline to carry them from initial vision through signed agreement and deployment.\n\n\n\n\nWHAT YOU'LL DO\n\n - Lead large-scale engagements end-to-end—from executive vision and business-case development through evaluation, commercial negotiation, deployment, and expansion.\n\n - Build and deepen trusted relationships with boards, C-Suite leaders, and technical teams, and communicate their priorities back into the company.\n\n - Navigate complex enterprise structures (e.g., conglomerates) to find where authority, budget, data, infrastructure, and operating leverage sit across the parent company, shared-service organizations, and portfolio businesses.\n\n - Translate advanced open-weight LLMs and token factory software offerings into strategic and financial outcomes by connecting model capability, customization, proprietary data, infrastructure, security, governance, and support.\n\n - Position Reflection as a long-term strategic AI partner across opportunities such as enterprise agents, software engineering, R&D, industrial operations, supply chains, and customer experiences.\n\n - Run disciplined account planning, qualification, value modeling, pricing, forecasting, executive sponsorship, and post-sale expansion for your strategic engagements.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - A track record of creating, shaping, and closing complex, multi-year agreements—likely contributing seven-figure+ revenue or comparable strategic importance.\n\n - Executive presence, exceptional communication, and a hands-on operating style; comfortable engaging a chair or CEO, working through architecture with technical leaders, improving a proposal, and moving a difficult deal forward.\n\n - Proven ability to navigate federated organizations with multiple business units, competing priorities, shared services, complex procurement, and both corporate and operating-company decision-makers.\n\n - Technical credibility selling AI/ML, cloud, data infrastructure, cybersecurity, developer platforms, or complex technology to large strategic customers.\n\n - Strong commercial mindset with demonstrated ability to build an executive-level business case, structure enterprise agreements, and connect technical adoption to measurable operating outcomes.\n\n - Experience operating across cultures and geographies, with the willingness to travel extensively for customers and partners.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"4b11103d-3087-4a95-b31c-64a0357818d7","title":"Member of Technical Staff - Multilingual Data","department":"Research","team":"Pre-Training Data","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-09-11T08:01:49.004+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/4b11103d-3087-4a95-b31c-64a0357818d7","applyUrl":"https://jobs.ashbyhq.com/reflectionai/4b11103d-3087-4a95-b31c-64a0357818d7/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
About the Role
Design and operate large-scale multilingual data pipelines — sourcing, cleaning, deduplication, language identification, and script normalization across high- and low resource languages.
Define and enforce quality bars for multilingual corpora, including translation quality, cultural fidelity, toxicity, and contamination checks.
Design and run scientific experiments to advance our understanding of scaling large language models to improve multilingual data efficiency.
Lead small research projects independently while collaborating on larger initiatives.
Build evaluation sets and diagnostics that expose where model behavior degrades by language, register, or domain, and close those gaps with targeted data.
Work with pre-training, mid-training, and post-training teams to land measurable, step-function improvements in multilingual capability.
About You
Strong software engineering fundamentals and comfort processing web-scale datasets in distributed environments.
Experience building large-scale data pipelines for language models, machine translation, speech, or search — ideally covering more than one language.
Fluency or working proficiency in at least one language other than English, and genuine curiosity about how languages differ.
A rigorous, measurement-first mindset: you prove a data change helped rather than assuming it did.
Navigate trade-offs between research objectives and practical engineering realities.
Comfortable with ambiguity and high ownership in a small, fast-moving team. Passionate about advancing the frontier of intelligence.
NICE TO HAVE
Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.
Published work in multilingual NLP, low-resource languages, or evaluation methodology.
Experience with annotation vendor management or crowdsourced data operations at scale.
Familiarity with tokenizer design and its effects on non-Latin scripts.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\nAbout the Role\n\n - Design and operate large-scale multilingual data pipelines — sourcing, cleaning, deduplication, language identification, and script normalization across high- and low resource languages.\n\n - Define and enforce quality bars for multilingual corpora, including translation quality, cultural fidelity, toxicity, and contamination checks.\n\n - Design and run scientific experiments to advance our understanding of scaling large language models to improve multilingual data efficiency.\n\n - Lead small research projects independently while collaborating on larger initiatives.\n\n - Build evaluation sets and diagnostics that expose where model behavior degrades by language, register, or domain, and close those gaps with targeted data.\n\n - Work with pre-training, mid-training, and post-training teams to land measurable, step-function improvements in multilingual capability.\n\n\n\nAbout You\n\n - Strong software engineering fundamentals and comfort processing web-scale datasets in distributed environments.\n\n - Experience building large-scale data pipelines for language models, machine translation, speech, or search — ideally covering more than one language.\n\n - Fluency or working proficiency in at least one language other than English, and genuine curiosity about how languages differ.\n\n - A rigorous, measurement-first mindset: you prove a data change helped rather than assuming it did.\n\n - Navigate trade-offs between research objectives and practical engineering realities.\n\n - Comfortable with ambiguity and high ownership in a small, fast-moving team. Passionate about advancing the frontier of intelligence.\n\n\n\nNICE TO HAVE\n\n - Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.\n\n - Published work in multilingual NLP, low-resource languages, or evaluation methodology.\n\n - Experience with annotation vendor management or crowdsourced data operations at scale.\n\n - Familiarity with tokenizer design and its effects on non-Latin scripts.\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"202a262d-c519-4326-ba6d-46715b37eebf","title":"Sr. Enterprise Risk Governance Specialist","department":"Operations","team":"InfoSec / Compliance","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-09-14T19:05:38.651+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/202a262d-c519-4326-ba6d-46715b37eebf","applyUrl":"https://jobs.ashbyhq.com/reflectionai/202a262d-c519-4326-ba6d-46715b37eebf/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
The Sr. Enterprise Risk Governance Specialist position is a senior role within Enterprise Risk & Trust, reporting to the Head of Enterprise Risk & Trust. This is the hands-on expert and builder behind the organization’s enterprise risk management and control environment — personally designing, operating, and continuously maturing the frameworks, inventories, controls, and reporting that keep the organization within its stated risk appetite while advancing its strategic objectives. This specialist owns and executes the technical substance of risk governance across its full lifecycle: obligation identification, control architecture, risk measurement, reporting, and external representation.
Sitting at the intersection of risk, compliance, technology, and AI safety, this role is uniquely positioned to shape how the organization understands and responds to a dynamic regulatory and operational risk landscape. The ideal candidate brings deep expertise in enterprise risk frameworks, a systems-level perspective on controls design, and the personal credibility to represent the organization’s risk posture to regulators, customers, auditors, and other critical external stakeholders.
This is a high-visibility, high-impact individual-contributor role that operates across all business functions. Success requires the ability to translate complex risk concepts into actionable governance structures, influence without direct authority, and build trusted relationships internally and externally.
Design, build, and operate a control environment that drives efficient, prioritized adherence to organizational obligations in alignment with management’s objectives and stated risk appetite.
Design and continuously operate an enterprise risk management framework spanning risk identification, measurement, mitigation, monitoring, and reporting — contextualized against the organization’s obligations, objectives, and risk tolerance.
Establish and apply a disciplined approach to risk prioritization that balances operational efficiency with the rigor required to address high-severity exposures across the enterprise.
Operate the organization’s policy and standards issuance lifecycle, ensuring timely coverage of emerging obligations and strategic priorities.
Design, implement, and maintain the controls and guardrails that drive adherence to obligations and objectives within defined risk appetite thresholds.
Build and maintain a structured controls taxonomy and policy hierarchy, ensuring alignment, traceability, and clear ownership across the enterprise.
Own and maintain the enterprise risk registry and control inventory, ensuring completeness, accuracy, and operationalization across all relevant functions.
Steward the design, quality, and utilization of key risk-related ecosystem inventories, including data inventories, IT asset inventories, and other foundational records management infrastructure.
Champion and enforce data quality and governance standards across risk-related inventories, enabling confident risk measurement and management decisions.
Build and maintain executive-quality reporting on enterprise risk posture, policy and standards coverage, and the efficacy of regulatory and risk-driven controls.
Contextualize risk reporting against the organization’s obligations, objectives, and risk appetite — enabling senior leadership and the Board to make well-informed decisions.
Continuously improve risk metrics, dashboards, and reporting cadences to reflect evolving organizational priorities and stakeholder needs.
Serve as a subject-matter expert on risk governance topics in interactions with regulators (in coordination with Regulatory Compliance), customers, auditors, and other external stakeholders.
Contribute to the negotiation of contracts, agreements, and licenses with risk management implications, advocating for risk-informed terms and organizational protections.
Monitor the external and industry landscape to anticipate emerging obligations, translate new requirements into actionable internal frameworks, and proactively position the organization ahead of compliance deadlines.
7+ years of progressive experience in enterprise risk management, compliance, internal audit, or a closely related governance discipline, with a demonstrated track record as a hands-on practitioner and builder.
Demonstrated track record of designing, implementing, and maturing enterprise risk management frameworks and control environments at scale.
Prior experience owning or significantly contributing to policy and standards governance programs, including the lifecycle management of policies, standards, and controls.
Meaningful exposure to AI governance, responsible AI, or technology risk — with working knowledge of AI risk and ethics frameworks, use-case evaluation methodologies, and emerging AI regulation.
Experience engaging with external regulators, auditors, or enterprise customers on risk and compliance topics; including participation in regulatory examinations, customer due diligence processes, or contract negotiations.
Exceptional ability to design and communicate governance structures, risk frameworks, and control architectures to both technical and non-technical audiences.
Strong analytical and systems-thinking skills, with the ability to synthesize complex risk landscapes into clear, prioritized frameworks and actionable recommendations.
Demonstrated ability to build and maintain inventories and registries (risk, control, data, asset) with a strong focus on data quality, usability, and organizational adoption.
Excellent written and verbal communication skills, including the ability to develop executive-quality risk reporting and represent the organization credibly in high-stakes external conversations.
Proven ability to influence cross-functional stakeholders and drive alignment on governance priorities without direct authority.
A risk practitioner who operates with both rigor and pragmatism — focused on building governance infrastructure that is operationally effective, not just technically compliant.
Intellectually curious and adaptive, with a commitment to staying current on evolving regulatory requirements, risk management best practices, and AI governance developments.
A trusted, credible voice — internally with leadership and cross-functional partners, and externally with regulators, customers, and the broader governance community.
Highly collaborative and organizationally astute, with the ability to navigate complex stakeholder environments and build durable governance partnerships across the enterprise.
Motivated by building — comfortable operating in ambiguous, fast-moving environments where governance structures are maturing and the work requires both strategic vision and hands-on execution.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nThe Sr. Enterprise Risk Governance Specialist position is a senior role within Enterprise Risk & Trust, reporting to the Head of Enterprise Risk & Trust. This is the hands-on expert and builder behind the organization’s enterprise risk management and control environment — personally designing, operating, and continuously maturing the frameworks, inventories, controls, and reporting that keep the organization within its stated risk appetite while advancing its strategic objectives. This specialist owns and executes the technical substance of risk governance across its full lifecycle: obligation identification, control architecture, risk measurement, reporting, and external representation.\n\nSitting at the intersection of risk, compliance, technology, and AI safety, this role is uniquely positioned to shape how the organization understands and responds to a dynamic regulatory and operational risk landscape. The ideal candidate brings deep expertise in enterprise risk frameworks, a systems-level perspective on controls design, and the personal credibility to represent the organization’s risk posture to regulators, customers, auditors, and other critical external stakeholders.\n\nThis is a high-visibility, high-impact individual-contributor role that operates across all business functions. Success requires the ability to translate complex risk concepts into actionable governance structures, influence without direct authority, and build trusted relationships internally and externally.\n\n\n\n\nWHAT YOU'LL DO\n\n\nCONTROL ENVIRONMENT & RISK FRAMEWORK ARCHITECTURE\n\n - Design, build, and operate a control environment that drives efficient, prioritized adherence to organizational obligations in alignment with management’s objectives and stated risk appetite.\n\n - Design and continuously operate an enterprise risk management framework spanning risk identification, measurement, mitigation, monitoring, and reporting — contextualized against the organization’s obligations, objectives, and risk tolerance.\n\n - Establish and apply a disciplined approach to risk prioritization that balances operational efficiency with the rigor required to address high-severity exposures across the enterprise.\n\n\nPOLICY, STANDARDS & CONTROLS GOVERNANCE\n\n - Operate the organization’s policy and standards issuance lifecycle, ensuring timely coverage of emerging obligations and strategic priorities.\n\n - Design, implement, and maintain the controls and guardrails that drive adherence to obligations and objectives within defined risk appetite thresholds.\n\n - Build and maintain a structured controls taxonomy and policy hierarchy, ensuring alignment, traceability, and clear ownership across the enterprise.\n\n\nENTERPRISE INVENTORIES & DATA STEWARDSHIP\n\n - Own and maintain the enterprise risk registry and control inventory, ensuring completeness, accuracy, and operationalization across all relevant functions.\n\n - Steward the design, quality, and utilization of key risk-related ecosystem inventories, including data inventories, IT asset inventories, and other foundational records management infrastructure.\n\n - Champion and enforce data quality and governance standards across risk-related inventories, enabling confident risk measurement and management decisions.\n\n\nRISK REPORTING & EXECUTIVE COMMUNICATION\n\n - Build and maintain executive-quality reporting on enterprise risk posture, policy and standards coverage, and the efficacy of regulatory and risk-driven controls.\n\n - Contextualize risk reporting against the organization’s obligations, objectives, and risk appetite — enabling senior leadership and the Board to make well-informed decisions.\n\n - Continuously improve risk metrics, dashboards, and reporting cadences to reflect evolving organizational priorities and stakeholder needs.\n\n\nEXTERNAL ENGAGEMENT & REPRESENTATION\n\n - Serve as a subject-matter expert on risk governance topics in interactions with regulators (in coordination with Regulatory Compliance), customers, auditors, and other external stakeholders.\n\n - Contribute to the negotiation of contracts, agreements, and licenses with risk management implications, advocating for risk-informed terms and organizational protections.\n\n - Monitor the external and industry landscape to anticipate emerging obligations, translate new requirements into actionable internal frameworks, and proactively position the organization ahead of compliance deadlines.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n\nEXPERIENCE & BACKGROUND\n\n - 7+ years of progressive experience in enterprise risk management, compliance, internal audit, or a closely related governance discipline, with a demonstrated track record as a hands-on practitioner and builder.\n\n - Demonstrated track record of designing, implementing, and maturing enterprise risk management frameworks and control environments at scale.\n\n - Prior experience owning or significantly contributing to policy and standards governance programs, including the lifecycle management of policies, standards, and controls.\n\n - Meaningful exposure to AI governance, responsible AI, or technology risk — with working knowledge of AI risk and ethics frameworks, use-case evaluation methodologies, and emerging AI regulation.\n\n - Experience engaging with external regulators, auditors, or enterprise customers on risk and compliance topics; including participation in regulatory examinations, customer due diligence processes, or contract negotiations.\n\n\nSKILLS & CAPABILITIES\n\n - Exceptional ability to design and communicate governance structures, risk frameworks, and control architectures to both technical and non-technical audiences.\n\n - Strong analytical and systems-thinking skills, with the ability to synthesize complex risk landscapes into clear, prioritized frameworks and actionable recommendations.\n\n - Demonstrated ability to build and maintain inventories and registries (risk, control, data, asset) with a strong focus on data quality, usability, and organizational adoption.\n\n - Excellent written and verbal communication skills, including the ability to develop executive-quality risk reporting and represent the organization credibly in high-stakes external conversations.\n\n - Proven ability to influence cross-functional stakeholders and drive alignment on governance priorities without direct authority.\n\n\nMINDSET & APPROACH\n\n - A risk practitioner who operates with both rigor and pragmatism — focused on building governance infrastructure that is operationally effective, not just technically compliant.\n\n - Intellectually curious and adaptive, with a commitment to staying current on evolving regulatory requirements, risk management best practices, and AI governance developments.\n\n - A trusted, credible voice — internally with leadership and cross-functional partners, and externally with regulators, customers, and the broader governance community.\n\n - Highly collaborative and organizationally astute, with the ability to navigate complex stakeholder environments and build durable governance partnerships across the enterprise.\n\n - Motivated by building — comfortable operating in ambiguous, fast-moving environments where governance structures are maturing and the work requires both strategic vision and hands-on execution.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"c6703702-07ce-46f1-9a66-e424475b3e6c","title":"Product Counsel, Data & Search","department":"Legal","team":"Legal","employmentType":"FullTime","location":"London","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"Washington, D.C.","address":{"postalAddress":{"addressRegion":"Washington, D.C.","addressCountry":"United States","addressLocality":"Washington, D.C."}}},{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-09-16T13:59:41.276+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/c6703702-07ce-46f1-9a66-e424475b3e6c","applyUrl":"https://jobs.ashbyhq.com/reflectionai/c6703702-07ce-46f1-9a66-e424475b3e6c/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
We are seeking a Data Product counsel to lead the legal support for our teams securing and developing data to help power the next generation of frontier AI models and developing agentic search capabilities for our future products. You will work at the frontier of AI law, translating US and international legal regimes and regulations relating to the use of data for different model and product types and building these into actionable product roadmaps. You will also support our teams as they explore the evolution of agentic and search capabilities. You will be a strategic partner to cross-functional teams across a hyper-scaling AI lab, ensuring that our frontier open foundation models have access to essential data whilst being built responsibly.
You will advise on US and international AI laws and regulations applicable to both the use of data and agentic frameworks. You will work closely with our product, research, engineering and safety teams as well as other business operations and compliance units to implement measures that ensure our models are responsibly developed.
This is a high-impact, build-stage role. You will not simply answer one-off legal questions; you will help design the policies, review processes, escalation pathways, and business-facing guidance that allow Reflection to move quickly while maintaining a mature and defensible compliance posture.
Act as Reflection’s primary legal contact for our pre-training and data teams, advising on existing and developing laws and regulations that impact the acquisition and utilisation of data for AI training and development across Reflection’s product teams.
Act as Reflection’s primary legal contact for agentic and search-based product proposals, advising on this evolving area of law and regulation.
Provide focused legal advice relating to legal risks and compliance requirements relating to the use of data for AI training and development, including intellectual property, privacy, licensing and AI regulation.
Design and implement data integrity standards and processes to manage risks relating to data use and acquisition. Advise on existing and developing US and international regulations relating to data use and development. Develop policies alongside the data and training teams to ensure Reflection’s models meet data provenance, tracking and usage requirements and standards. Help establish a risk-based compliance posture for AI-specific data requirements.
Partner with cross functional teams to implement data controls that allow for responsible model releases and ensure Reflection addresses current and future data regulations and laws.
Advise on data considerations in commercial and strategic transactions including partnerships with customers, data and model collaborations and research partnerships.
Help support the building of agentic capabilities and advising the product teams on legal and compliance requirements including intellectual property, safety, security, privacy and AI regulation.
Monitor legal and regulatory developments from Congress, the White House, the EU, UK, and other relevant authorities, and translate those developments into practical guidance for leadership and operators.
J.D. and active bar membership (or in-house registration) in at least one U.S. jurisdiction.
Approximately 10+ years of experience product counselling and advising companies of legal risks in the technology sector, especially in sectors such as artificial intelligence, cloud computing, semiconductors, advanced computing, cybersecurity, infrastructure, data centers, or other strategically sensitive technologies.
Strong experience identifying and addressing complex legal issues relating to product, regulatory, intellectual property, commerce, privacy, and other legal risks and mitigations.
Experience advising on U.S. and International legal, regulatory and litigation matters applicable to AI products and data usage, including advising to address, minimise and avoid regulatory risks.
Strong ability to exercise independent judgment and take proactive steps in areas where the law is evolving, agency guidance is incomplete, or the business context does not fit neatly into legacy regulatory categories.
Excellent cross-functional communication skills, including the ability to explain complex legal requirements to engineers, researchers, infrastructure teams, commercial teams, executives, and non-lawyer operators.
Ideally, prior experience at a high-growth technology company, AI lab, cloud provider or other technology business addressing legal risks associated with the acquisition and use of data. Bonus points for experience with open source access technology.
Ideally prior experience addressing issues relating to agentic and/or search capabilities in the context of AI development.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking a Data Product counsel to lead the legal support for our teams securing and developing data to help power the next generation of frontier AI models and developing agentic search capabilities for our future products. You will work at the frontier of AI law, translating US and international legal regimes and regulations relating to the use of data for different model and product types and building these into actionable product roadmaps. You will also support our teams as they explore the evolution of agentic and search capabilities. You will be a strategic partner to cross-functional teams across a hyper-scaling AI lab, ensuring that our frontier open foundation models have access to essential data whilst being built responsibly.\n\nYou will advise on US and international AI laws and regulations applicable to both the use of data and agentic frameworks. You will work closely with our product, research, engineering and safety teams as well as other business operations and compliance units to implement measures that ensure our models are responsibly developed.\n\nThis is a high-impact, build-stage role. You will not simply answer one-off legal questions; you will help design the policies, review processes, escalation pathways, and business-facing guidance that allow Reflection to move quickly while maintaining a mature and defensible compliance posture.\n\n\n\n\nWHAT YOU’LL DO\n\n - Act as Reflection’s primary legal contact for our pre-training and data teams, advising on existing and developing laws and regulations that impact the acquisition and utilisation of data for AI training and development across Reflection’s product teams.\n\n - Act as Reflection’s primary legal contact for agentic and search-based product proposals, advising on this evolving area of law and regulation.\n\n - Provide focused legal advice relating to legal risks and compliance requirements relating to the use of data for AI training and development, including intellectual property, privacy, licensing and AI regulation.\n\n - Design and implement data integrity standards and processes to manage risks relating to data use and acquisition. Advise on existing and developing US and international regulations relating to data use and development. Develop policies alongside the data and training teams to ensure Reflection’s models meet data provenance, tracking and usage requirements and standards. Help establish a risk-based compliance posture for AI-specific data requirements.\n\n - Partner with cross functional teams to implement data controls that allow for responsible model releases and ensure Reflection addresses current and future data regulations and laws.\n\n - Advise on data considerations in commercial and strategic transactions including partnerships with customers, data and model collaborations and research partnerships.\n\n - Help support the building of agentic capabilities and advising the product teams on legal and compliance requirements including intellectual property, safety, security, privacy and AI regulation.\n\n - Monitor legal and regulatory developments from Congress, the White House, the EU, UK, and other relevant authorities, and translate those developments into practical guidance for leadership and operators.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - J.D. and active bar membership (or in-house registration) in at least one U.S. jurisdiction.\n\n - Approximately 10+ years of experience product counselling and advising companies of legal risks in the technology sector, especially in sectors such as artificial intelligence, cloud computing, semiconductors, advanced computing, cybersecurity, infrastructure, data centers, or other strategically sensitive technologies.\n\n - Strong experience identifying and addressing complex legal issues relating to product, regulatory, intellectual property, commerce, privacy, and other legal risks and mitigations.\n\n - Experience advising on U.S. and International legal, regulatory and litigation matters applicable to AI products and data usage, including advising to address, minimise and avoid regulatory risks.\n\n - Strong ability to exercise independent judgment and take proactive steps in areas where the law is evolving, agency guidance is incomplete, or the business context does not fit neatly into legacy regulatory categories.\n\n - Excellent cross-functional communication skills, including the ability to explain complex legal requirements to engineers, researchers, infrastructure teams, commercial teams, executives, and non-lawyer operators.\n\n - Ideally, prior experience at a high-growth technology company, AI lab, cloud provider or other technology business addressing legal risks associated with the acquisition and use of data. Bonus points for experience with open source access technology.\n\n - Ideally prior experience addressing issues relating to agentic and/or search capabilities in the context of AI development.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"cd008c5d-3905-4595-9056-93984bf8daf4","title":"Sr. Enterprise Risk Operations Specialist","department":"Operations","team":"InfoSec / Compliance","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"England","streetAddress":"2 Pancras Square, 1st Floor","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-09-14T19:13:17.746+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/cd008c5d-3905-4595-9056-93984bf8daf4","applyUrl":"https://jobs.ashbyhq.com/reflectionai/cd008c5d-3905-4595-9056-93984bf8daf4/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
The Sr. Enterprise Risk Operations Specialist position is a senior role within Enterprise Risk & Trust, reporting to the Head of Enterprise Risk & Trust. This is the hands-on expert who translates the organization’s risk governance frameworks and policies into operational reality — personally operating the machinery that validates adherence, surfaces issues, and drives resolution. The result is a continuously evidenced, audit-ready risk posture that can be confidently represented to customers, regulators, and leadership.
Spanning commercial risk support, third-party risk management, controls assurance, and risk issue management, this role serves as an operational center of gravity for the Enterprise Risk & Trust function — coordinating across product, engineering, legal, and compliance teams to ensure risk obligations are not just understood, but actively evidenced and remediated where gaps exist.
This is a high-visibility, high-impact individual-contributor role that operates across all business functions. Success requires the ability to translate complex risk concepts into verifiable risk management, influence without direct authority, and build trusted relationships internally and externally.
Drive the end-to-end lifecycle for risk assessments and certifications supporting the deals pipeline and go-to-market efforts, ensuring risk reviews are completed with the speed and rigor the business requires.
Partner closely with sales, legal, and product teams to scope and deliver risk assessments tailored to customer requirements, industry verticals, and deal-specific obligations.
Develop and maintain a library of reusable risk assessment artifacts, certifications, and evidence packages that accelerate commercial cycles without compromising quality.
Serve as a risk subject-matter expert in customer-facing conversations, due diligence requests, and RFP responses involving risk, compliance, and AI safety topics.
Conduct upfront due-diligence assessments, ongoing risk monitoring, and on-demand risk reviews of third parties and vendors supporting organizational operations.
Design and operate a scalable third-party risk management program that reflects the organization’s risk appetite, vendor criticality tiers, and evolving regulatory expectations.
Define and maintain clear criteria for vendor risk tiering, onboarding requirements, and ongoing monitoring cadences — ensuring continuous visibility into the risk profile of the extended enterprise.
Coordinate with procurement, legal, and technology teams to ensure vendor risk findings are reflected in contracting, remediation timelines, and relationship management decisions.
Validate and evidence the design and operational efficacy of policies, standards, controls, and guardrails related to risk management — translating governance intent into demonstrable operational outcomes.
Design and execute controls testing programs that provide reliable, audit-quality evidence of control effectiveness across the organization’s obligation landscape.
Develop and maintain structured assurance documentation that enables confident representation of risk posture to regulators, auditors, and enterprise customers.
Identify and escalate control design or operational gaps, working cross-functionally to drive timely and durable remediation.
Operate the organization’s risk issue management lifecycle, including maintenance of the risk issue inventory, escalation protocols, remediation prioritization frameworks, and exception management.
Define and apply clear standards for issue documentation, severity classification, ownership assignment, and remediation timelines — ensuring accountability and visibility at all levels.
Drive prioritization of remediation efforts in alignment with the organization’s risk appetite, ensuring that the most consequential exposures receive appropriate urgency and resources.
Manage the exception management process, including evaluation, approval, compensating control requirements, and time-bound tracking of all active exceptions.
Provide regular reporting to leadership on open issues, remediation velocity, exception inventory, and systemic risk trends, enabling informed decisions on risk tolerance and resource allocation.
7+ years of progressive experience in risk operations, compliance, internal audit, information security, or a closely related discipline, with a demonstrated track record as a hands-on practitioner and builder of operational risk programs.
Demonstrated track record of building and operating scalable risk operational programs: controls assurance, third-party risk management, issue management, or incident response.
Hands-on experience with commercial risk support functions, including the delivery of risk assessments, certifications, or security questionnaires in a go-to-market or enterprise sales context.
Prior experience in technology risk operations — with working knowledge of AI system risk evaluation, safety testing methodologies, and the operational lifecycle of AI models.
Experience operating in regulated environments and interacting directly with auditors, regulators, or enterprise customers on risk, compliance, or security topics.
Exceptional operational discipline — proven ability to design, document, and run repeatable, audit-quality risk management processes at scale.
Strong analytical and investigative skills, with the ability to triage complex risk issues, synthesize large volumes of evidence, and distinguish signal from noise.
Demonstrated ability to manage and report on multi-workstream operational programs, balancing competing priorities, tight timelines, and cross-functional dependencies.
Excellent written and verbal communication skills, including the ability to document risk findings clearly and represent the organization’s risk posture credibly in customer-facing and regulatory settings.
Proficiency in risk management tools and GRC platforms; familiarity with evidence management, controls testing workflows, and incident tracking systems.
An operational risk practitioner who takes pride in building evidence-based, audit-ready risk programs — and understands that credibility is earned through the quality and consistency of execution, not just the elegance of frameworks.
Deeply collaborative and cross-functionally astute, with the ability to engage engineering, legal, product, and compliance stakeholders as a trusted partner rather than a compliance gatekeeper.
Calm and structured under pressure, with the judgment to triage and respond to fast-moving risk events — from safety incidents to regulatory inquiries — without sacrificing rigor.
Genuinely curious about AI and technology risk, and motivated to develop and maintain meaningful operational expertise in a domain that is evolving rapidly.
A builder at heart — energized by creating programs and processes where structure is still emerging, and committed to leaving operational infrastructure better than they found it.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\nThe Sr. Enterprise Risk Operations Specialist position is a senior role within Enterprise Risk & Trust, reporting to the Head of Enterprise Risk & Trust. This is the hands-on expert who translates the organization’s risk governance frameworks and policies into operational reality — personally operating the machinery that validates adherence, surfaces issues, and drives resolution. The result is a continuously evidenced, audit-ready risk posture that can be confidently represented to customers, regulators, and leadership.\n\nSpanning commercial risk support, third-party risk management, controls assurance, and risk issue management, this role serves as an operational center of gravity for the Enterprise Risk & Trust function — coordinating across product, engineering, legal, and compliance teams to ensure risk obligations are not just understood, but actively evidenced and remediated where gaps exist.\n\nThis is a high-visibility, high-impact individual-contributor role that operates across all business functions. Success requires the ability to translate complex risk concepts into verifiable risk management, influence without direct authority, and build trusted relationships internally and externally.\n\n\n\n\nWHAT YOU'LL DO\n\n\nCOMMERCIAL RISK & GO-TO-MARKET SUPPORT\n\n - Drive the end-to-end lifecycle for risk assessments and certifications supporting the deals pipeline and go-to-market efforts, ensuring risk reviews are completed with the speed and rigor the business requires.\n\n - Partner closely with sales, legal, and product teams to scope and deliver risk assessments tailored to customer requirements, industry verticals, and deal-specific obligations.\n\n - Develop and maintain a library of reusable risk assessment artifacts, certifications, and evidence packages that accelerate commercial cycles without compromising quality.\n\n - Serve as a risk subject-matter expert in customer-facing conversations, due diligence requests, and RFP responses involving risk, compliance, and AI safety topics.\n\n\nTHIRD-PARTY & VENDOR RISK MANAGEMENT\n\n - Conduct upfront due-diligence assessments, ongoing risk monitoring, and on-demand risk reviews of third parties and vendors supporting organizational operations.\n\n - Design and operate a scalable third-party risk management program that reflects the organization’s risk appetite, vendor criticality tiers, and evolving regulatory expectations.\n\n - Define and maintain clear criteria for vendor risk tiering, onboarding requirements, and ongoing monitoring cadences — ensuring continuous visibility into the risk profile of the extended enterprise.\n\n - Coordinate with procurement, legal, and technology teams to ensure vendor risk findings are reflected in contracting, remediation timelines, and relationship management decisions.\n\n\nCONTROLS ASSURANCE & OBLIGATION VALIDATION\n\n - Validate and evidence the design and operational efficacy of policies, standards, controls, and guardrails related to risk management — translating governance intent into demonstrable operational outcomes.\n\n - Design and execute controls testing programs that provide reliable, audit-quality evidence of control effectiveness across the organization’s obligation landscape.\n\n - Develop and maintain structured assurance documentation that enables confident representation of risk posture to regulators, auditors, and enterprise customers.\n\n - Identify and escalate control design or operational gaps, working cross-functionally to drive timely and durable remediation.\n\n\nRISK ISSUE MANAGEMENT & REMEDIATION\n\n - Operate the organization’s risk issue management lifecycle, including maintenance of the risk issue inventory, escalation protocols, remediation prioritization frameworks, and exception management.\n\n - Define and apply clear standards for issue documentation, severity classification, ownership assignment, and remediation timelines — ensuring accountability and visibility at all levels.\n\n - Drive prioritization of remediation efforts in alignment with the organization’s risk appetite, ensuring that the most consequential exposures receive appropriate urgency and resources.\n\n - Manage the exception management process, including evaluation, approval, compensating control requirements, and time-bound tracking of all active exceptions.\n\n - Provide regular reporting to leadership on open issues, remediation velocity, exception inventory, and systemic risk trends, enabling informed decisions on risk tolerance and resource allocation.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n\nEXPERIENCE & BACKGROUND\n\n - 7+ years of progressive experience in risk operations, compliance, internal audit, information security, or a closely related discipline, with a demonstrated track record as a hands-on practitioner and builder of operational risk programs.\n\n - Demonstrated track record of building and operating scalable risk operational programs: controls assurance, third-party risk management, issue management, or incident response.\n\n - Hands-on experience with commercial risk support functions, including the delivery of risk assessments, certifications, or security questionnaires in a go-to-market or enterprise sales context.\n\n - Prior experience in technology risk operations — with working knowledge of AI system risk evaluation, safety testing methodologies, and the operational lifecycle of AI models.\n\n - Experience operating in regulated environments and interacting directly with auditors, regulators, or enterprise customers on risk, compliance, or security topics.\n\n\nSKILLS & CAPABILITIES\n\n - Exceptional operational discipline — proven ability to design, document, and run repeatable, audit-quality risk management processes at scale.\n\n - Strong analytical and investigative skills, with the ability to triage complex risk issues, synthesize large volumes of evidence, and distinguish signal from noise.\n\n - Demonstrated ability to manage and report on multi-workstream operational programs, balancing competing priorities, tight timelines, and cross-functional dependencies.\n\n - Excellent written and verbal communication skills, including the ability to document risk findings clearly and represent the organization’s risk posture credibly in customer-facing and regulatory settings.\n\n - Proficiency in risk management tools and GRC platforms; familiarity with evidence management, controls testing workflows, and incident tracking systems.\n\n\nMINDSET & APPROACH\n\n - An operational risk practitioner who takes pride in building evidence-based, audit-ready risk programs — and understands that credibility is earned through the quality and consistency of execution, not just the elegance of frameworks.\n\n - Deeply collaborative and cross-functionally astute, with the ability to engage engineering, legal, product, and compliance stakeholders as a trusted partner rather than a compliance gatekeeper.\n\n - Calm and structured under pressure, with the judgment to triage and respond to fast-moving risk events — from safety incidents to regulatory inquiries — without sacrificing rigor.\n\n - Genuinely curious about AI and technology risk, and motivated to develop and maintain meaningful operational expertise in a domain that is evolving rapidly.\n\n - A builder at heart — energized by creating programs and processes where structure is still emerging, and committed to leaving operational infrastructure better than they found it.\n\n\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."},{"id":"af9706e4-0bcb-45cf-ac72-b6150875c12b","title":"MTS, IT Engineer","department":"Security","team":"Security","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"61 9th Avenue, 3rd Floor","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-09-17T15:19:03.862+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"140 New Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/reflectionai/af9706e4-0bcb-45cf-ac72-b6150875c12b","applyUrl":"https://jobs.ashbyhq.com/reflectionai/af9706e4-0bcb-45cf-ac72-b6150875c12b/application","descriptionHtml":"Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection AI is looking for a Member of Technical Staff - IT Engineer. In this role, you’ll be expected to manage a broad range of operational, strategic, and project-based responsibilities with maximum autonomy and minimal oversight. You’ll be working across tier 1 and tier 2 support, defining IT requirements for new office space buildouts, identifying ways that we can improve processes and implement systems to improve the IT function across the board, and supporting the rollout of technical IT Security initiatives. This is an internal-customer-facing role in which you will be regularly supporting executives, executive assistants, engineers, and non-technical people with everyday IT problems.
Handle day-to-day operational IT requests
Define and implement systems and processes that will help the IT function operate more efficiently
Provide white-glove operational support for executives
Facilitate rapid growth by providing a friendly onboarding experience for new employees
Assist with the design and deployment of IT systems such as MDM, SSO, and ticketing systems
Support IT Security initiatives, including hardware security key rollout and device posture attestation
Manage SaaS platforms and spend
Assist with the buildout of new offices by setting requirements and coordinating the installation of audio/visual, networking, and office security equipment
5+ years of experience with Tier 1 and Tier 2 IT support
Comfort working in a customer-facing role in which you are dealing with executives, executive assistants, engineers, and non-technical people
Ability to navigate complex, non-trivial problems with minimal support
Experience working with both macOS and Windows devices (Linux is a bonus)
Expertise in managing user provisioning through Rippling and Okta, including automating user onboarding and offboarding flows
Experience configuring and managing Okta as the primary SSO IdP, including integrating SaaS platforms with Okta SSO
Familiarity with MDM solutions such as Jamf, Kandji, or JumpCloud
Experience administering Google Workspace, Slack, Jira, and Linear
Strong technical depth and domain expertise, with the ability to communicate technical information clearly to various audiences
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
","descriptionPlain":"OUR MISSION\n\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\n\n\n\n\nROLE OVERVIEW\n\n\n\nReflection AI is looking for a Member of Technical Staff - IT Engineer. In this role, you’ll be expected to manage a broad range of operational, strategic, and project-based responsibilities with maximum autonomy and minimal oversight. You’ll be working across tier 1 and tier 2 support, defining IT requirements for new office space buildouts, identifying ways that we can improve processes and implement systems to improve the IT function across the board, and supporting the rollout of technical IT Security initiatives. This is an internal-customer-facing role in which you will be regularly supporting executives, executive assistants, engineers, and non-technical people with everyday IT problems.\n\n\n\n\nWHAT YOU'LL DO\n\n\n\n - Handle day-to-day operational IT requests\n\n - Define and implement systems and processes that will help the IT function operate more efficiently\n\n - Provide white-glove operational support for executives\n\n - Facilitate rapid growth by providing a friendly onboarding experience for new employees\n\n - Assist with the design and deployment of IT systems such as MDM, SSO, and ticketing systems\n\n - Support IT Security initiatives, including hardware security key rollout and device posture attestation\n\n - Manage SaaS platforms and spend\n\n - Assist with the buildout of new offices by setting requirements and coordinating the installation of audio/visual, networking, and office security equipment\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\n - 5+ years of experience with Tier 1 and Tier 2 IT support\n\n - Comfort working in a customer-facing role in which you are dealing with executives, executive assistants, engineers, and non-technical people\n\n - Ability to navigate complex, non-trivial problems with minimal support\n\n - Experience working with both macOS and Windows devices (Linux is a bonus)\n\n - Expertise in managing user provisioning through Rippling and Okta, including automating user onboarding and offboarding flows\n\n - Experience configuring and managing Okta as the primary SSO IdP, including integrating SaaS platforms with Okta SSO\n\n - Familiarity with MDM solutions such as Jamf, Kandji, or JumpCloud\n\n - Experience administering Google Workspace, Slack, Jira, and Linear\n\n - Strong technical depth and domain expertise, with the ability to communicate technical information clearly to various audiences\n\n\nWHAT WE OFFER:\n\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\n\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\n\n - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\n - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\n - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\n - Meals: Lunch and dinner are provided in the office daily.\n\n - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\n - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\n - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\n - Team building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization."}],"apiVersion":"1"}