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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"8b97b583-3cc6-4834-ae2c-d5aecf22ed7d","title":"Member of Deployment Staff","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":"2026-11-03T22:49:39.508+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.
Members of Deployment Staff are Reflection’s technical owners in every customer engagement. You will own the technical execution of strategic engagements end to end, from discovery and solution architecture through proof-of-concept and production delivery. The work spans every layer of the AI stack: GPU orchestration, inference, model post-training, and the custom harnesses and applications built on top.
We’re seeking exceptional people with depth across the AI stack who can partner with customer’s ML and engineering teams, win and deliver strategic engagements, and turn what they learn in the field into input that shapes our models and platform.
Technical Discovery & Architecture: Lead deep technical discovery with customer teams across inference workloads, agentic applications and post-training. Understand customer needs and translate them into feasible technical solutions with clear success criteria to make Reflection the technical winner in every deal.
Benchmarks & POCs: Own proofs of concept end to end: define evaluation criteria with the customer, benchmark on their real workloads, and demonstrate Reflection’s quality, latency, and cost against competing options.
Delivery: Architect and build complex AI systems, including agentic applications, model-serving infrastructure, evaluations, and post-training recipes. Own the customer engagement and relationship: define project plans, sequence and manage work across workstreams, and keep customer stakeholders aligned.
Product & Research Contribution: Identify repeatable patterns and model gaps in the field that should shape our platform or model capabilities. Build prototypes, validate that they meet customer needs, and generalize them into Reflection’s platform and research priorities.
Playbooks & Operating Model: Help shape and scale the deployment organization by defining playbooks, reference architectures, reusable technical assets and best practices that make every teammate more effective and support the team’s growth.
Strong technical fluency: comfortable reading, writing and reasoning about code, architecture and system behavior, with strong Python and experience shipping production-grade systems.
A track record of leading complex technical projects: coordinating contributors across workstreams, making practical tradeoffs, removing obstacles, and owning end-to-end delivery outcomes.
Hands-on infrastructure and inference experience: you’ve deployed multi-node GPU clusters (Kubernetes or Slurm), served large models in production (vLLM, SGLang), and rigorously benchmarked tradeoffs like quantization, caching, batching and speculative decoding.
Agent engineering: you’ve shipped LLM-based agents to production in the last 1–2 years, designed their harnesses (tool calling and MCP, context management, orchestration, guardrails) and the evals behind them, and know when post-training can be used.
5+ years of relevant experience delivering technical systems, including 2+ years in a technical leadership role (e.g., tech lead, engineering manager or founding engineer).
Demonstrated ability and interest in customer-facing work: understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes. You can go from a whiteboard session to debugging a deployment in the customer’s environment.
Self-starter with high agency and ownership who excels in fast-paced startup environments where the 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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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\nMembers of Deployment Staff are Reflection’s technical owners in every customer engagement. You will own the technical execution of strategic engagements end to end, from discovery and solution architecture through proof-of-concept and production delivery. The work spans every layer of the AI stack: GPU orchestration, inference, model post-training, and the custom harnesses and applications built on top. \n\nWe’re seeking exceptional people with depth across the AI stack who can partner with customer’s ML and engineering teams, win and deliver strategic engagements, and turn what they learn in the field into input that shapes our models and platform.\n\n \n\n\nWHAT YOU'LL DO\n\n - Technical Discovery & Architecture: Lead deep technical discovery with customer teams across inference workloads, agentic applications and post-training. Understand customer needs and translate them into feasible technical solutions with clear success criteria to make Reflection the technical winner in every deal.\n\n - Benchmarks & POCs: Own proofs of concept end to end: define evaluation criteria with the customer, benchmark on their real workloads, and demonstrate Reflection’s quality, latency, and cost against competing options.\n\n - Delivery: Architect and build complex AI systems, including agentic applications, model-serving infrastructure, evaluations, and post-training recipes. Own the customer engagement and relationship: define project plans, sequence and manage work across workstreams, and keep customer stakeholders aligned.\n\n - Product & Research Contribution: Identify repeatable patterns and model gaps in the field that should shape our platform or model capabilities. Build prototypes, validate that they meet customer needs, and generalize them into Reflection’s platform and research priorities.\n\n - Playbooks & Operating Model: Help shape and scale the deployment organization by defining playbooks, reference architectures, reusable technical assets and best practices that make every teammate more effective and support the team’s growth.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Strong technical fluency: comfortable reading, writing and reasoning about code, architecture and system behavior, with strong Python and experience shipping production-grade systems.\n\n - A track record of leading complex technical projects: coordinating contributors across workstreams, making practical tradeoffs, removing obstacles, and owning end-to-end delivery outcomes.\n\n - Hands-on infrastructure and inference experience: you’ve deployed multi-node GPU clusters (Kubernetes or Slurm), served large models in production (vLLM, SGLang), and rigorously benchmarked tradeoffs like quantization, caching, batching and speculative decoding.\n\n - Agent engineering: you’ve shipped LLM-based agents to production in the last 1–2 years, designed their harnesses (tool calling and MCP, context management, orchestration, guardrails) and the evals behind them, and know when post-training can be used.\n\n - 5+ years of relevant experience delivering technical systems, including 2+ years in a technical leadership role (e.g., tech lead, engineering manager or founding engineer).\n\n - Demonstrated ability and interest in customer-facing work: understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes. You can go from a whiteboard session to debugging a deployment in the customer’s environment.\n\n - Self-starter with high agency and ownership who excels in fast-paced startup environments where the 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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"c567de5a-a599-42f7-8f74-602fab95fd17","title":"Member of Technical Staff, Human Data Quality 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":"2026-01-08T14:52:07.406+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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"3f496904-537e-47fd-8af8-a9b7bc490a0f","title":"Member of Technical Staff, Pre-Training Data Quality 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":"2026-01-08T14:53:13.587+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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"7e27f7f5-27da-49aa-b10f-2f5de1de1162","title":"Strategic Finance Manager","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":"2026-10-19T14:20:13.722+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/7e27f7f5-27da-49aa-b10f-2f5de1de1162","applyUrl":"https://jobs.ashbyhq.com/reflectionai/7e27f7f5-27da-49aa-b10f-2f5de1de1162/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.
Our Mission
Reflection’s mission is to build open superintelligence and make it accessible to all.
We’re developing open weight foundation models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
Role Overview
As a Strategic Finance Manager, you'll help build the core muscles of our capital allocation, forecasting, and planning processes. You'll work across the business — spanning GTM, compute, R&D, and corporate finance — building models and analyses that inform how we allocate resources, evaluate opportunities, and plan for growth. The work will vary depending on where you focus, but the common thread is connecting ground-level business activity to rigorous financial thinking.
What You'll Do
Build financial models across a range of contexts — deals and partnerships, product and channel economics, cost structures, and investment decisions
Support the corporate financial model with bottoms-up inputs, and maintain that connection as the underlying business evolves
Partner cross-functionally — with sales, GTM, engineering, research, and finance leadership — to translate business activity into financial frameworks
Develop cost and investment models (compute, infrastructure, headcount, R&D) to inform resource planning and tradeoff decisions
Identify financial risks and opportunities early, and help structure decisions that balance growth with returns
Improve the templates, assumptions libraries, and processes used across the team
What We're Looking For
5+ years of experience in strategic finance or FP&A at a high-growth technology company, management consulting, investment banking, or similar
Strong financial modeling skills – build clean, auditable models from scratch
Experience with deal economics, revenue modeling, or commercial finance at a technology company
Comfort with cost-side modeling: you understand how compute, headcount, and infrastructure costs behave
Ability to work cross-functionally with sales, GTM, engineering, research, and finance leadership without losing rigor
Comfortable with ambiguity: takes initiative, operates independently, and brings structure and curiosity to open-ended 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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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\nOur Mission\n\nReflection’s mission is to build open superintelligence and make it accessible to all.\n\n\n\nWe’re developing open weight foundation models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI http://Character.AI, Anthropic and beyond.\n\nRole Overview\n\nAs a Strategic Finance Manager, you'll help build the core muscles of our capital allocation, forecasting, and planning processes. You'll work across the business — spanning GTM, compute, R&D, and corporate finance — building models and analyses that inform how we allocate resources, evaluate opportunities, and plan for growth. The work will vary depending on where you focus, but the common thread is connecting ground-level business activity to rigorous financial thinking.\n\nWhat You'll Do\n\n - Build financial models across a range of contexts — deals and partnerships, product and channel economics, cost structures, and investment decisions\n\n - Support the corporate financial model with bottoms-up inputs, and maintain that connection as the underlying business evolves\n\n - Partner cross-functionally — with sales, GTM, engineering, research, and finance leadership — to translate business activity into financial frameworks\n\n - Develop cost and investment models (compute, infrastructure, headcount, R&D) to inform resource planning and tradeoff decisions\n\n - Identify financial risks and opportunities early, and help structure decisions that balance growth with returns\n\n - Improve the templates, assumptions libraries, and processes used across the team\n\nWhat We're Looking For\n\n - 5+ years of experience in strategic finance or FP&A at a high-growth technology company, management consulting, investment banking, or similar\n\n - Strong financial modeling skills – build clean, auditable models from scratch\n\n - Experience with deal economics, revenue modeling, or commercial finance at a technology company\n\n - Comfort with cost-side modeling: you understand how compute, headcount, and infrastructure costs behave\n\n - Ability to work cross-functionally with sales, GTM, engineering, research, and finance leadership without losing rigor\n\n - Comfortable with ambiguity: takes initiative, operates independently, and brings structure and curiosity to open-ended 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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"8b05b1e6-0286-464b-9fff-c6ac44c35b8c","title":"Member of Technical Staff - Shared Services","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":"2026-10-01T10:19:59.978+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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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":"2026-09-30T15:32:12.838+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/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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"8d0b07a2-e39f-4094-9a34-ebbc6bb62432","title":"Human Data Operations 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":"2026-10-16T13:24:50.065+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/8d0b07a2-e39f-4094-9a34-ebbc6bb62432","applyUrl":"https://jobs.ashbyhq.com/reflectionai/8d0b07a2-e39f-4094-9a34-ebbc6bb62432/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 Acquisition Team is responsible for ensuring that Reflection has all the data it needs to train the world’s best models. We're looking for a Human Data Operations Manager to own the pipelines that turn human expertise into better AI models. You will partner closely with researchers, deeply understand their needs, and source from vendors the data that improves our models’ usefulness and performance.
This role combines program ownership with hands-on work on task design, contributor workflows, data quality frameworks, and success metrics. The ideal candidate brings organizational rigor, technical curiosity, and sound judgment about when to move quickly and when to investigate the details.
Collaborate with research: Translate critical model capabilities, and researchers’ plans for developing them, into executable data acquisition strategies.
Orchestrate providers: Assess vendors’ capabilities, forecast capacity, define task instructions, acceptance criteria and then hold vendors accountable for quality, delivery, and cost.
Track and optimize campaigns: Build dashboards tracking throughput, turnaround time, acceptance rates, rework, and cost per accepted task. Leverage data analytics to investigate bottlenecks and guide improvements.
Ensure alignment: Experiments and priorities evolve. You will surface vulnerabilities early and turn feedback into concrete changes to subsequent sourcing. Work with research to close the loop; tracking how our data acquisitions improve model capabilities
4+ years of experience delivering a portfolio of complex programs and prioritizing across changing research needs.
An understanding of LLM training, evaluation, and prompt design, with the ability to learn unfamiliar research concepts quickly.
Proficiency in SQL for querying datasets and building dashboards, and Python for data analysis, API integrations, and workflow automation.
Clear written communication, strong stakeholder judgment, and a willingness to inspect individual tasks and datasets when the headline numbers do not tell the full story.
High agency, bias towards action, and the ability to drive impact in fast-paced, dynamic, and ambiguous environments
Experience with annotation, expert data collection, human feedback, or AI evaluation is a plus.
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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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 Acquisition Team is responsible for ensuring that Reflection has all the data it needs to train the world’s best models. We're looking for a Human Data Operations Manager to own the pipelines that turn human expertise into better AI models. You will partner closely with researchers, deeply understand their needs, and source from vendors the data that improves our models’ usefulness and performance.\n\nThis role combines program ownership with hands-on work on task design, contributor workflows, data quality frameworks, and success metrics. The ideal candidate brings organizational rigor, technical curiosity, and sound judgment about when to move quickly and when to investigate the details.\n\n\n\n\nWHAT YOU'LL DO\n\n - Collaborate with research: Translate critical model capabilities, and researchers’ plans for developing them, into executable data acquisition strategies.\n\n - Orchestrate providers: Assess vendors’ capabilities, forecast capacity, define task instructions, acceptance criteria and then hold vendors accountable for quality, delivery, and cost.\n\n - Track and optimize campaigns: Build dashboards tracking throughput, turnaround time, acceptance rates, rework, and cost per accepted task. Leverage data analytics to investigate bottlenecks and guide improvements.\n\n - Ensure alignment: Experiments and priorities evolve. You will surface vulnerabilities early and turn feedback into concrete changes to subsequent sourcing. Work with research to close the loop; tracking how our data acquisitions improve model capabilities\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 4+ years of experience delivering a portfolio of complex programs and prioritizing across changing research needs.\n\n - An understanding of LLM training, evaluation, and prompt design, with the ability to learn unfamiliar research concepts quickly.\n\n - Proficiency in SQL for querying datasets and building dashboards, and Python for data analysis, API integrations, and workflow automation.\n\n - Clear written communication, strong stakeholder judgment, and a willingness to inspect individual tasks and datasets when the headline numbers do not tell the full story.\n\n - High agency, bias towards action, and the ability to drive impact in fast-paced, dynamic, and ambiguous environments\n\n - Experience with annotation, expert data collection, human feedback, or AI evaluation is a plus.\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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":"2026-09-30T15:19:54.905+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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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":"2026-09-30T15:20:19.471+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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"a4557506-cc62-4efc-b051-c393067c2740","title":"MTS Lead, Technology & Security Engineering","department":"Security","team":"Security","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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"3865d9c3-8cf8-464c-9451-81628427b867","title":"MTS Lead, Identity and Access Management","department":"Security","team":"Security","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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"3df75b72-7958-4cb4-a7ae-ac65787974fa","title":"MTS Lead, Product Security","department":"Security","team":"Security","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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"90f44c78-5612-40ca-91b8-71575d774cf9","title":"Member of Technical Staff - Engineering Lead, Data Acquisition","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":"2026-10-21T14:15:02.442+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 Acquisition 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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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 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 Acquisition 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\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 \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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"266c76bf-7353-40e1-a2e6-8dd3187ec52c","title":"Member of Technical Staff, Data Flywheel","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":"2026-08-25T20:49:34.492+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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"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.
We’re looking for an IT Engineer who cares about helping people as much as solving technical problems. You’ll be based in our San Francisco office five days a week, supporting employees across Reflection and taking day-to-day responsibility for the office’s technology. We're growing fast and much of our environment was set up by engineers for engineers. You'll inherit rough edges and fix them.
Direct support is a central part of this role. So is improving the systems behind it. You’ll get to know the people you support, how they work, and where technology gets in their way. When problems recur, you’ll address the underlying cause through better configuration, workflows, or automation.
You’ll work with your team on priorities and architecture, Security on controls, and Workplace on office infrastructure.
Resolve employee IT issues. Help people remotely and in person with devices, applications, access, and workplace technology. Build relationships with the people you help. When something breaks, look past the immediate fix to the root cause.
Manage the endpoint lifecycle. Our fleet is primarily Mac, with some Windows, and you’ll manage both. Provision, configure, secure, patch, and retire devices. Keep improving MDM policies, software deployment, and compliance.
Operate identity and core SaaS systems. Administer Okta, Google Workspace, Slack, and the rest of our SaaS stack. Maintain SSO, provisioning, and access policies. Keep onboarding and offboarding reliable.
Automate repetitive work. Build workflows in Serval and write scripts against APIs to take manual steps out of provisioning, access changes, and device management.
Partner with Security. Implement and maintain controls for device posture, phishing-resistant authentication, least privilege, and endpoint protection.
Keep workplace technology dependable. Own the reliability of conference rooms, AV, and the office network in San Francisco. Work with Workplace and outside vendors on buildouts and meeting-space improvements.
Make IT run without heroics. Keep documentation useful and asset records accurate. Build consistent processes for hardware, software, procurement, and vendors as we grow.
5+ years of experience in IT engineering, systems administration, or a similarly broad corporate IT role.
Strong experience supporting people directly, from engineers to executives to non-technical colleagues. You communicate clearly and keep people informed until the issue is resolved.
Hands-on experience managing macOS devices through MDM, including configuration, software deployment, patching, and troubleshooting.
Experience administering identity and SaaS platforms
You have administered Okta or a comparable IdP: app integrations, SSO, SCIM provisioning, group rules, and MFA or conditional-access policies
Experience using scripts, APIs, or workflow automation to remove manual work.
Strong troubleshooting skills across endpoints, identity, applications, office networking, and conference rooms.
Sound judgment about when to act independently, escalate an issue, or involve others in a decision. You document changes so the rest of the team can support them.
Additional Experience We Value
Scaling IT through rapid growth at a startup or highly technical organization.
Delivering office buildouts with network, AV, and infrastructure vendors.
Managing Windows devices through MDM.
Deploying endpoint security, device trust, or phishing-resistant authentication such as hardware security keys.
Supporting IT controls for SOC 2, ISO 27001, or NIST-aligned security programs.
Administering Google Cloud Platform or Amazon Web Services at the organization level, including IAM, policies, and account structure.
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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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 an IT Engineer who cares about helping people as much as solving technical problems. You’ll be based in our San Francisco office five days a week, supporting employees across Reflection and taking day-to-day responsibility for the office’s technology. We're growing fast and much of our environment was set up by engineers for engineers. You'll inherit rough edges and fix them.\n\nDirect support is a central part of this role. So is improving the systems behind it. You’ll get to know the people you support, how they work, and where technology gets in their way. When problems recur, you’ll address the underlying cause through better configuration, workflows, or automation.\n\nYou’ll work with your team on priorities and architecture, Security on controls, and Workplace on office infrastructure.\n\n\n\n\nWHAT YOU'LL DO\n\n\n\n - Resolve employee IT issues. Help people remotely and in person with devices, applications, access, and workplace technology. Build relationships with the people you help. When something breaks, look past the immediate fix to the root cause.\n\n - Manage the endpoint lifecycle. Our fleet is primarily Mac, with some Windows, and you’ll manage both. Provision, configure, secure, patch, and retire devices. Keep improving MDM policies, software deployment, and compliance.\n\n - Operate identity and core SaaS systems. Administer Okta, Google Workspace, Slack, and the rest of our SaaS stack. Maintain SSO, provisioning, and access policies. Keep onboarding and offboarding reliable.\n\n - Automate repetitive work. Build workflows in Serval and write scripts against APIs to take manual steps out of provisioning, access changes, and device management.\n\n - Partner with Security. Implement and maintain controls for device posture, phishing-resistant authentication, least privilege, and endpoint protection.\n\n - Keep workplace technology dependable. Own the reliability of conference rooms, AV, and the office network in San Francisco. Work with Workplace and outside vendors on buildouts and meeting-space improvements.\n\n - Make IT run without heroics. Keep documentation useful and asset records accurate. Build consistent processes for hardware, software, procurement, and vendors as we grow.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\n - 5+ years of experience in IT engineering, systems administration, or a similarly broad corporate IT role.\n\n - Strong experience supporting people directly, from engineers to executives to non-technical colleagues. You communicate clearly and keep people informed until the issue is resolved.\n\n - Hands-on experience managing macOS devices through MDM, including configuration, software deployment, patching, and troubleshooting.\n\n - Experience administering identity and SaaS platforms\n\n - You have administered Okta or a comparable IdP: app integrations, SSO, SCIM provisioning, group rules, and MFA or conditional-access policies\n\n - Experience using scripts, APIs, or workflow automation to remove manual work.\n\n - Strong troubleshooting skills across endpoints, identity, applications, office networking, and conference rooms.\n\n - Sound judgment about when to act independently, escalate an issue, or involve others in a decision. You document changes so the rest of the team can support them.\n\n\n\nAdditional Experience We Value\n\n - Scaling IT through rapid growth at a startup or highly technical organization.\n\n - Delivering office buildouts with network, AV, and infrastructure vendors.\n\n - Managing Windows devices through MDM.\n\n - Deploying endpoint security, device trust, or phishing-resistant authentication such as hardware security keys.\n\n - Supporting IT controls for SOC 2, ISO 27001, or NIST-aligned security programs.\n\n - Administering Google Cloud Platform or Amazon Web Services at the organization level, including IAM, policies, and account structure.\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"b8754754-e927-41db-8c33-3a5f72653631","title":"MTS, Technology & Security Engineering","department":"Security","team":"Security","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":"2026-09-18T14:32:40.475+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/b8754754-e927-41db-8c33-3a5f72653631","applyUrl":"https://jobs.ashbyhq.com/reflectionai/b8754754-e927-41db-8c33-3a5f72653631/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 MTS for 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 leader 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
7+ 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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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 a MTS for 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 leader 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\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 - 7+ 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\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"ba8037e5-a9d3-4cfe-b8ae-6bb6d817af92","title":"GRC Engineer","department":"Legal","team":"Compliance & AI Governance","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":"2026-10-09T15:48:00.927+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/ba8037e5-a9d3-4cfe-b8ae-6bb6d817af92","applyUrl":"https://jobs.ashbyhq.com/reflectionai/ba8037e5-a9d3-4cfe-b8ae-6bb6d817af92/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's Compliance and AI Governance function spans six pillars: AI Governance, Data Governance, Trade Compliance, Privacy Operationalization, Government Contracting Compliance, and Corporate Compliance. The team builds the policies, controls, and operating rhythms that let the company move fast while staying defensible with regulators, customers, and partners. This role sits at the intersection of compliance and engineering, partnering most closely on technical controls required by Security frameworks, AI Governance frameworks, Privacy, and Data Governance pillars to translate policy requirements into technical controls that scale.
We're looking for a Governance, Risk, & Compliance engineer who wants to work on compliance as a product problem rather than a paperwork problem. You'll build and maintain the technical infrastructure (tooling, pipelines, automated controls, evidence collection) that lets the compliance program operate at engineering scale instead of through manual review. A core part of the job is keeping our security framework compliance (SOC 2, ISO 27001, NIST) running on automated evidence rather than manual screenshotting, and building out the technical side of our Trade Compliance, Privacy, Data Governance, and TPRM program. You'll be the technical translator between compliance requirements and the engineering and security teams that have to implement them.
Design and build automated controls and monitoring that satisfy security framework requirements (SOC 2, ISO 27001, NIST 800-53/800-171, CMMC): access reviews, data minimization, model/data lineage, continuous evidence collection
Partner with Engineering, Security, and IT to implement technical requirements arising from security frameworks, deemed export controls, and privacy regulations
Build and maintain internal tooling that supports compliance workflows (intake forms, screening checks, reporting dashboards, GRC platform integrations such as Vanta)
Translate regulatory and policy requirements into concrete technical specifications engineering teams can implement
Support technical due diligence for inbound customer security questionnaires, audits, and outbound vendor assessments
Maintain integrations between compliance/GRC systems and source-of-truth systems (identity, data infrastructure, model pipelines)
Help scope and support technical environment separations or system boundaries required for regulatory compliance (e.g., subsidiary or enclave environments)
3-6 years of software engineering, security engineering, or DevOps/infrastructure experience
Hands-on experience supporting at least one security framework (SOC 2, ISO 27001, or NIST) as an engineer, not just as a subject
Comfortable writing production-quality code (Python, or similar) and working with APIs/integrations
Experience translating non-technical requirements (policy, regulatory, contractual) into technical implementation
Familiarity with cloud infrastructure and identity/access management concepts
Strong collaboration skills; able to work effectively with compliance, legal, and engineering stakeholders who don't share a common vocabulary
Experience building or maintaining GRC tooling, TPRM/vendor risk platforms, or compliance automation (e.g., Vanta or similar)
Familiarity with one or more relevant frameworks: CMMC, NIST 800-171/800-53, SOC 2, ISO 27001, GDPR/CCPA technical requirements
Experience with data governance or data lineage tooling, especially in ML/AI pipelines
Background supporting a government contracting or regulated environment
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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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 SUMMARY\n\nReflection AI's Compliance and AI Governance function spans six pillars: AI Governance, Data Governance, Trade Compliance, Privacy Operationalization, Government Contracting Compliance, and Corporate Compliance. The team builds the policies, controls, and operating rhythms that let the company move fast while staying defensible with regulators, customers, and partners. This role sits at the intersection of compliance and engineering, partnering most closely on technical controls required by Security frameworks, AI Governance frameworks, Privacy, and Data Governance pillars to translate policy requirements into technical controls that scale.\n\nWe're looking for a Governance, Risk, & Compliance engineer who wants to work on compliance as a product problem rather than a paperwork problem. You'll build and maintain the technical infrastructure (tooling, pipelines, automated controls, evidence collection) that lets the compliance program operate at engineering scale instead of through manual review. A core part of the job is keeping our security framework compliance (SOC 2, ISO 27001, NIST) running on automated evidence rather than manual screenshotting, and building out the technical side of our Trade Compliance, Privacy, Data Governance, and TPRM program. You'll be the technical translator between compliance requirements and the engineering and security teams that have to implement them.\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and build automated controls and monitoring that satisfy security framework requirements (SOC 2, ISO 27001, NIST 800-53/800-171, CMMC): access reviews, data minimization, model/data lineage, continuous evidence collection\n\n - Partner with Engineering, Security, and IT to implement technical requirements arising from security frameworks, deemed export controls, and privacy regulations\n\n - Build and maintain internal tooling that supports compliance workflows (intake forms, screening checks, reporting dashboards, GRC platform integrations such as Vanta)\n\n - Translate regulatory and policy requirements into concrete technical specifications engineering teams can implement\n\n - Support technical due diligence for inbound customer security questionnaires, audits, and outbound vendor assessments\n\n - Maintain integrations between compliance/GRC systems and source-of-truth systems (identity, data infrastructure, model pipelines)\n\n - Help scope and support technical environment separations or system boundaries required for regulatory compliance (e.g., subsidiary or enclave environments)\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 3-6 years of software engineering, security engineering, or DevOps/infrastructure experience\n\n - Hands-on experience supporting at least one security framework (SOC 2, ISO 27001, or NIST) as an engineer, not just as a subject\n\n - Comfortable writing production-quality code (Python, or similar) and working with APIs/integrations\n\n - Experience translating non-technical requirements (policy, regulatory, contractual) into technical implementation\n\n - Familiarity with cloud infrastructure and identity/access management concepts\n\n - Strong collaboration skills; able to work effectively with compliance, legal, and engineering stakeholders who don't share a common vocabulary\n\n - Experience building or maintaining GRC tooling, TPRM/vendor risk platforms, or compliance automation (e.g., Vanta or similar)\n\n - Familiarity with one or more relevant frameworks: CMMC, NIST 800-171/800-53, SOC 2, ISO 27001, GDPR/CCPA technical requirements\n\n - Experience with data governance or data lineage tooling, especially in ML/AI pipelines\n\n - Background supporting a government contracting or regulated environment\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"71dafad6-f8d5-45b1-a418-9c8cc7e43c39","title":"Compliance Manager","department":"Legal","team":"Compliance & AI Governance","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":"2026-10-09T15:49:40.759+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/71dafad6-f8d5-45b1-a418-9c8cc7e43c39","applyUrl":"https://jobs.ashbyhq.com/reflectionai/71dafad6-f8d5-45b1-a418-9c8cc7e43c39/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's Compliance and AI Governance function spans six pillars: AI Governance, Data Governance, Trade Compliance, Privacy Operationalization, Government Contracting Compliance, and Corporate Compliance. The team builds the policies, controls, and operating rhythms that let the company move fast while staying defensible with regulators, customers, and partners.
We're looking for a senior generalist who can flex across multiple pillars rather than own a single lane. You'll take ambiguous, cross-cutting problems (a new regulation, a customer due-diligence request, an internal process gap) and turn them into working programs: policies, SOPs, training, and monitoring. This role is a force multiplier for the pillar leads and a direct partner to the Head of Compliance and AI Governance.
Stand up and maintain compliance processes and SOPs across pillars (e.g., insider risk, background checks, external reporting process, vendor/compliance tooling)
Support our security framework compliance posture (SOC 2, ISO 27001, NIST 800-53/800-171, CMMC) by maintaining evidence, coordinating with control owners, and prepping for audits and assessments
Own or support day-to-day TPRM operations: vendor security questionnaires, risk tiering, onboarding reviews, and tracking remediation of vendor findings
Respond to inbound customer and partner security/compliance questionnaires, pulling in subject-matter owners as needed
Partner with pillar leads (AI Governance, Data Governance, Trade Compliance, Privacy, Gov Contracting) to fill gaps, cover surge work, and keep cross-pillar initiatives moving
Draft and maintain policies, process documentation, and training materials for internal and external audiences
Track regulatory developments (AI, data, privacy) and translate them into concrete internal workstreams
Prepare materials for leadership and cross-functional updates (steering committees, exec reporting, knowledge-share sessions)
Identify process gaps and build the scaffolding (trackers, templates, intake forms) to close them
4-7 years in compliance, risk, legal operations, or a related GRC function, ideally in tech or a regulated industry
Direct experience with at least one security framework (SOC 2, ISO 27001, NIST) and with TPRM/vendor risk processes (questionnaires, risk tiering, onboarding review)
Demonstrated ability to own a problem end to end with minimal supervision, across unfamiliar subject matter
Strong written communication; comfortable turning ambiguous asks into clear policies and SOPs
Experience working cross-functionally with Legal, Security, Privacy, People, and Engineering stakeholders
Comfortable context-switching across multiple active workstreams
Exposure to AI governance, data privacy (GDPR/CCPA), export controls (ITAR/EAR), or federal contracting compliance (CMMC, FAR/DFARS)
Experience with GRC or compliance tooling (e.g., Vanta or similar platforms)
Experience responding to customer-facing security questionnaires or supporting enterprise sales/procurement cycles
Prior experience in a high-growth or startup environment where the compliance function is still being built
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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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's Compliance and AI Governance function spans six pillars: AI Governance, Data Governance, Trade Compliance, Privacy Operationalization, Government Contracting Compliance, and Corporate Compliance. The team builds the policies, controls, and operating rhythms that let the company move fast while staying defensible with regulators, customers, and partners.\n\nWe're looking for a senior generalist who can flex across multiple pillars rather than own a single lane. You'll take ambiguous, cross-cutting problems (a new regulation, a customer due-diligence request, an internal process gap) and turn them into working programs: policies, SOPs, training, and monitoring. This role is a force multiplier for the pillar leads and a direct partner to the Head of Compliance and AI Governance.\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Stand up and maintain compliance processes and SOPs across pillars (e.g., insider risk, background checks, external reporting process, vendor/compliance tooling)\n\n - Support our security framework compliance posture (SOC 2, ISO 27001, NIST 800-53/800-171, CMMC) by maintaining evidence, coordinating with control owners, and prepping for audits and assessments\n\n - Own or support day-to-day TPRM operations: vendor security questionnaires, risk tiering, onboarding reviews, and tracking remediation of vendor findings\n\n - Respond to inbound customer and partner security/compliance questionnaires, pulling in subject-matter owners as needed\n\n - Partner with pillar leads (AI Governance, Data Governance, Trade Compliance, Privacy, Gov Contracting) to fill gaps, cover surge work, and keep cross-pillar initiatives moving\n\n - Draft and maintain policies, process documentation, and training materials for internal and external audiences\n\n - Track regulatory developments (AI, data, privacy) and translate them into concrete internal workstreams\n\n - Prepare materials for leadership and cross-functional updates (steering committees, exec reporting, knowledge-share sessions)\n\n - Identify process gaps and build the scaffolding (trackers, templates, intake forms) to close them\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 4-7 years in compliance, risk, legal operations, or a related GRC function, ideally in tech or a regulated industry\n\n - Direct experience with at least one security framework (SOC 2, ISO 27001, NIST) and with TPRM/vendor risk processes (questionnaires, risk tiering, onboarding review)\n\n - Demonstrated ability to own a problem end to end with minimal supervision, across unfamiliar subject matter\n\n - Strong written communication; comfortable turning ambiguous asks into clear policies and SOPs\n\n - Experience working cross-functionally with Legal, Security, Privacy, People, and Engineering stakeholders\n\n - Comfortable context-switching across multiple active workstreams\n\n - Exposure to AI governance, data privacy (GDPR/CCPA), export controls (ITAR/EAR), or federal contracting compliance (CMMC, FAR/DFARS)\n\n - Experience with GRC or compliance tooling (e.g., Vanta or similar platforms)\n\n - Experience responding to customer-facing security questionnaires or supporting enterprise sales/procurement cycles\n\n - Prior experience in a high-growth or startup environment where the compliance function is still being built\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"80bfe997-c518-4a6f-90c3-7131dad34666","title":"Senior Talent Operations Specialist","department":"People","team":"Recruiting","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":"2026-10-09T18:34:15.148+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/80bfe997-c518-4a6f-90c3-7131dad34666","applyUrl":"https://jobs.ashbyhq.com/reflectionai/80bfe997-c518-4a6f-90c3-7131dad34666/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 hiring a Senior Talent Operations Specialist to own the systems and data behind hiring at Reflection, and to build the programs that make our hiring consistent and high signal as we double this year and well beyond next. You will run our ATS and the integrations around it, and you will build the reporting that tells recruiters, hiring managers and leadership where hiring is working and where it is stuck. Working directly with the Recruiting Operations Manager, you will also turn our structured hiring and interviewer and hiring manager training into working tools, materials and measurement.
What You’ll Do
Own Ashby end to end: configuration, permissions and access roles, reference data, templates, interview plan structure, feedback forms, openings and job setup standards
Build and maintain reporting for every audience: pipeline health and pass-through, time to fill, decline and competitor analysis, interviewer load and feedback completion, source effectiveness and scheduling SLAs, plus alerts that catch problems before people do
Keep the data trustworthy: audits, hygiene sweeps and the fixes that follow
Build the materials, logistics and measurement behind interviewer and hiring manager training, and track completion against our SLAs
Own our documentation system and tool enablement: the structure and upkeep of our recruiting wiki and onboarding for new team members
Run candidate experience surveys and turn the results into fixes
What We’re Looking For
4+ years in recruiting operations or talent systems with ownership of an ATS and its reporting
Deep hands-on Ashby experience, ideally including an implementation, migration or major re-configuration
You have built dashboards that people used to make decisions, and you understand recruiting metrics well enough to define them
Comfort with integrations and automation: Zapier or similar, APIs, webhooks
You have helped build an interviewer, hiring manager or recruiter enablement program
You have owned the systems side of a tool rollout across teams
Clear writer who documents as they build and enjoys teaching others to use tools well
High agency and attention to detail; data quality is your problem before it is anyone else's
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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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\n\nWe're hiring a Senior Talent Operations Specialist to own the systems and data behind hiring at Reflection, and to build the programs that make our hiring consistent and high signal as we double this year and well beyond next. You will run our ATS and the integrations around it, and you will build the reporting that tells recruiters, hiring managers and leadership where hiring is working and where it is stuck. Working directly with the Recruiting Operations Manager, you will also turn our structured hiring and interviewer and hiring manager training into working tools, materials and measurement.\n\n\n\nWhat You’ll Do\n\n - Own Ashby end to end: configuration, permissions and access roles, reference data, templates, interview plan structure, feedback forms, openings and job setup standards\n\n - Build and maintain reporting for every audience: pipeline health and pass-through, time to fill, decline and competitor analysis, interviewer load and feedback completion, source effectiveness and scheduling SLAs, plus alerts that catch problems before people do\n\n - Keep the data trustworthy: audits, hygiene sweeps and the fixes that follow\n\n - Build the materials, logistics and measurement behind interviewer and hiring manager training, and track completion against our SLAs\n\n - Own our documentation system and tool enablement: the structure and upkeep of our recruiting wiki and onboarding for new team members\n\n - Run candidate experience surveys and turn the results into fixes\n\n\n\nWhat We’re Looking For\n\n - 4+ years in recruiting operations or talent systems with ownership of an ATS and its reporting\n\n - Deep hands-on Ashby experience, ideally including an implementation, migration or major re-configuration\n\n - You have built dashboards that people used to make decisions, and you understand recruiting metrics well enough to define them\n\n - Comfort with integrations and automation: Zapier or similar, APIs, webhooks\n\n - You have helped build an interviewer, hiring manager or recruiter enablement program\n\n - You have owned the systems side of a tool rollout across teams\n\n - Clear writer who documents as they build and enjoys teaching others to use tools well\n\n - High agency and attention to detail; data quality is your problem before it is anyone else's\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"5c9835ae-4424-41ab-8585-16aefcce5a7a","title":"Member of Technical Staff - Pre-Training Evals Infra","department":"Research","team":"Evals","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":"2026-10-13T17:03:27.962+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/5c9835ae-4424-41ab-8585-16aefcce5a7a","applyUrl":"https://jobs.ashbyhq.com/reflectionai/5c9835ae-4424-41ab-8585-16aefcce5a7a/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.
You will build the evaluation infrastructure that researchers use to understand model capabilities, guide training decisions, and assess readiness for release. The role spans evaluation authoring, distributed execution, and results analysis, with a particular focus on pre-training. You will work directly with researchers to make evaluations faster, more reliable, and easier to use, ensuring that the results accurately reflect the models being evaluated.
Design and evolve evaluation abstractions. Build clear APIs and data models for evaluation tasks, datasets, configurations, model outputs, and scores, making it straightforward to add new evaluations and extend existing workflows.
Build scalable, reliable execution infrastructure. Develop distributed systems for evaluating model checkpoints throughout training and ahead of release, with robust orchestration, observability, and recovery from failures.
Optimize evaluation and inference performance. Profile inference servers and distributed execution to improve throughput, GPU utilization, and time to results.
Establish evaluation correctness and reproducibility. Build validation and regression tests, version datasets and configurations, and preserve the provenance needed to reproduce results and investigate discrepancies.
Build researcher-facing tools. Create intuitive interfaces and dashboards for inspecting model outputs, comparing checkpoints and experiments, and debugging unexpected behavior.
Operate and monitor evaluations as training progresses. Track evaluation workloads and results, triage failures, and develop alerts and diagnostics that help distinguish changes in model quality from inference or evaluation issues.
Turn research needs into reusable systems. Partner directly with researchers to identify bottlenecks, prioritize high-impact improvements, and turn bespoke workflows into self-service tools that work across teams.
Strong proficiency in Python, C++, or Rust, with the ability to reason deeply about concurrency, memory behavior, and performance.
Experience designing, building, and operating reliable, maintainable distributed systems, with sound judgment about interfaces, failure modes, and architectural tradeoffs.
Working knowledge of model inference and evaluation, including how implementation and configuration choices can affect measured model quality.
Ability to investigate complex problems across system boundaries, follow evidence, and identify root causes rather than just address symptoms.
Strong product judgment and experience translating the needs of researchers or other technical users into clear APIs and usable tools.
Comfort owning ambiguous problems end to end, prioritizing competing research needs, and balancing rapid delivery with long-term reliability and maintainability.
Attention to detail and the persistence to investigate subtle discrepancies in model outputs, evaluation results, and system behavior.
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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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\nYou will build the evaluation infrastructure that researchers use to understand model capabilities, guide training decisions, and assess readiness for release. The role spans evaluation authoring, distributed execution, and results analysis, with a particular focus on pre-training. You will work directly with researchers to make evaluations faster, more reliable, and easier to use, ensuring that the results accurately reflect the models being evaluated.\n\n - Design and evolve evaluation abstractions. Build clear APIs and data models for evaluation tasks, datasets, configurations, model outputs, and scores, making it straightforward to add new evaluations and extend existing workflows.\n\n - Build scalable, reliable execution infrastructure. Develop distributed systems for evaluating model checkpoints throughout training and ahead of release, with robust orchestration, observability, and recovery from failures.\n\n - Optimize evaluation and inference performance. Profile inference servers and distributed execution to improve throughput, GPU utilization, and time to results.\n\n - Establish evaluation correctness and reproducibility. Build validation and regression tests, version datasets and configurations, and preserve the provenance needed to reproduce results and investigate discrepancies.\n\n - Build researcher-facing tools. Create intuitive interfaces and dashboards for inspecting model outputs, comparing checkpoints and experiments, and debugging unexpected behavior.\n\n - Operate and monitor evaluations as training progresses. Track evaluation workloads and results, triage failures, and develop alerts and diagnostics that help distinguish changes in model quality from inference or evaluation issues.\n\n - Turn research needs into reusable systems. Partner directly with researchers to identify bottlenecks, prioritize high-impact improvements, and turn bespoke workflows into self-service tools that work across teams.\n \n\n\nABOUT YOU\n\n - Strong proficiency in Python, C++, or Rust, with the ability to reason deeply about concurrency, memory behavior, and performance.\n\n - Experience designing, building, and operating reliable, maintainable distributed systems, with sound judgment about interfaces, failure modes, and architectural tradeoffs.\n\n - Working knowledge of model inference and evaluation, including how implementation and configuration choices can affect measured model quality.\n\n - Ability to investigate complex problems across system boundaries, follow evidence, and identify root causes rather than just address symptoms.\n\n - Strong product judgment and experience translating the needs of researchers or other technical users into clear APIs and usable tools.\n\n - Comfort owning ambiguous problems end to end, prioritizing competing research needs, and balancing rapid delivery with long-term reliability and maintainability.\n\n - Attention to detail and the persistence to investigate subtle discrepancies in model outputs, evaluation results, and system behavior.\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"2b0b0fbf-0e82-4212-be2e-36e4ca37756c","title":"Member of Technical Staff - Pre-Training Data","department":"Research","team":"Pre-Training Data","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-22T17:23:50.281+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/2b0b0fbf-0e82-4212-be2e-36e4ca37756c","applyUrl":"https://jobs.ashbyhq.com/reflectionai/2b0b0fbf-0e82-4212-be2e-36e4ca37756c/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.
What You’ll Do:
Design and implement techniques for sourcing, curating, and filtering large-scale web, text, and code data, with opportunities to extend into other modalities as our models evolve.
Develop data quality metrics and analyses that measure coverage, diversity, and representativeness across sources.
Join the pre-training research team to design and run data experiments, working with infrastructure teams to scale the supporting data systems efficiently and reproducibly
Investigate and mitigate data risks, including privacy, safety, and licensing concerns, to support responsible and ethical data use.
Evaluate dataset changes through ablations and scaling experiments, tracing their downstream effects on model learning and behavior.
Publish and present research, and share code, datasets, and insights that move the open AI community forward.
What We're Looking For:
Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch or JAX), with experience debugging distributed workloads and writing code that scales.
Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
Clear written communication and the ability to explain complex technical ideas.
Preferred qualifications (we encourage you to apply even if you don’t meet all of these, but at least some):
A strong grasp of probability, statistics, and ML fundamentals, and the ability to tell real effects from noise and bugs in experimental data.
Experience with curation, preprocessing, and analysis of large-scale text or code datasets; exposure to multimodal data is a plus.
Background in data engineering, dataset construction, or large-scale web data processing for machine learning.
Experience evaluating or improving training data quality, and knowledge of data ethics, safety, and licensing frameworks relevant to AI datasets.
Contributions to open datasets, research publications, or data tooling.
PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline; or equivalent industry research experience.
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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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\nWhat You’ll Do:\n\n - Design and implement techniques for sourcing, curating, and filtering large-scale web, text, and code data, with opportunities to extend into other modalities as our models evolve.\n\n - Develop data quality metrics and analyses that measure coverage, diversity, and representativeness across sources.\n\n - Join the pre-training research team to design and run data experiments, working with infrastructure teams to scale the supporting data systems efficiently and reproducibly\n\n - Investigate and mitigate data risks, including privacy, safety, and licensing concerns, to support responsible and ethical data use.\n\n - Evaluate dataset changes through ablations and scaling experiments, tracing their downstream effects on model learning and behavior.\n\n - Publish and present research, and share code, datasets, and insights that move the open AI community forward.\n\n\n\nWhat We're Looking For:\n\n - Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch or JAX), with experience debugging distributed workloads and writing code that scales.\n\n - Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.\n\n - Clear written communication and the ability to explain complex technical ideas.\n\n\n\nPreferred qualifications (we encourage you to apply even if you don’t meet all of these, but at least some):\n\n - A strong grasp of probability, statistics, and ML fundamentals, and the ability to tell real effects from noise and bugs in experimental data.\n\n - Experience with curation, preprocessing, and analysis of large-scale text or code datasets; exposure to multimodal data is a plus.\n\n - Background in data engineering, dataset construction, or large-scale web data processing for machine learning.\n\n - Experience evaluating or improving training data quality, and knowledge of data ethics, safety, and licensing frameworks relevant to AI datasets.\n\n - Contributions to open datasets, research publications, or data tooling.\n\n - PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline; or equivalent industry research experience.\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"71b74a9d-c776-4e29-8c46-a2fe8964b1c7","title":"Contracts Manager","department":"Legal","team":"Legal","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":"Washington, D.C.","address":{"postalAddress":{"addressRegion":"Washington, D.C.","addressCountry":"United States","addressLocality":"Washington, D.C."}}}],"publishedAt":"2026-10-29T21:35:56.725+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/71b74a9d-c776-4e29-8c46-a2fe8964b1c7","applyUrl":"https://jobs.ashbyhq.com/reflectionai/71b74a9d-c776-4e29-8c46-a2fe8964b1c7/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 Contracts Manager, you will play a key role in building and scaling Reflection’s commercial contracting operations. You will own the day-to-day management of our contracting process, from initial intake through execution, working closely with Legal and cross-functional business teams to keep agreements moving efficiently.
This is a high-impact role for an experienced contracts professional who thrives in a fast-paced environment, exercises sound judgment, and takes ownership of processes. You will help build the systems, workflows, and playbooks that enable Reflection’s legal team to scale alongside the business, while freeing attorneys to focus on complex negotiations and strategic legal matters.
Own the end-to-end contract management process, including intake, triage, tracking, internal approvals, signature coordination, and recordkeeping.
Conduct first-pass review and negotiation of routine agreements, particularly NDAs, using established templates, playbooks, and escalation guidelines.
Support commercial contracting across a range of agreements, including vendor and procurement agreements, SaaS and technology agreements, data licensing agreements, and other commercial contracts.
Serve as a central point of coordination between Legal and business stakeholders, proactively managing follow-ups, outstanding issues, and execution timelines.
Coordinate cross-functional reviews with Security, Privacy, Compliance, Finance, and other teams, ensuring appropriate approvals are obtained.
Manage contract documentation, version control, signature workflows, and executed agreement storage.
Identify nonstandard contractual terms and escalate substantive legal or business issues to the appropriate stakeholders.
Develop and improve contracting workflows, templates, playbooks, and standard operating procedures to streamline operations and reduce turnaround times.
Maintain contract trackers and reporting on volume, status, turnaround times, and bottlenecks.
Identify opportunities to automate and scale contracting processes as the company grows.
At least 5+ years of experience in contracts management, commercial legal operations, or a related role.
Prior experience working directly with an in-house legal team, supporting attorneys and business stakeholders through commercial contracting processes.
Demonstrated experience independently managing commercial agreements from intake through execution.
Familiarity with commercial contracts, including NDAs, vendor agreements, SaaS agreements, and other technology-related agreements.
Strong understanding of contract lifecycle management, internal approval processes, and signature workflows.
Familiarity with AI-powered tools and workflows, including the ability to use AI agents and automation to streamline contracting processes, improve efficiency, and scale legal operations.
Excellent organizational and project management skills, with the ability to manage a high volume of requests and competing priorities.
Sound judgment — you know what you can handle independently, when to push a process forward, and when to escalate to Legal.
Strong written and verbal communication skills, with the ability to work effectively across legal, technical, and business teams.
Proactive, detail-oriented, and comfortable operating with significant autonomy in a fast-moving environment.
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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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 ROLE\n\nAs Contracts Manager, you will play a key role in building and scaling Reflection’s commercial contracting operations. You will own the day-to-day management of our contracting process, from initial intake through execution, working closely with Legal and cross-functional business teams to keep agreements moving efficiently.\n\nThis is a high-impact role for an experienced contracts professional who thrives in a fast-paced environment, exercises sound judgment, and takes ownership of processes. You will help build the systems, workflows, and playbooks that enable Reflection’s legal team to scale alongside the business, while freeing attorneys to focus on complex negotiations and strategic legal matters.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own the end-to-end contract management process, including intake, triage, tracking, internal approvals, signature coordination, and recordkeeping.\n\n - Conduct first-pass review and negotiation of routine agreements, particularly NDAs, using established templates, playbooks, and escalation guidelines.\n\n - Support commercial contracting across a range of agreements, including vendor and procurement agreements, SaaS and technology agreements, data licensing agreements, and other commercial contracts.\n\n - Serve as a central point of coordination between Legal and business stakeholders, proactively managing follow-ups, outstanding issues, and execution timelines.\n\n - Coordinate cross-functional reviews with Security, Privacy, Compliance, Finance, and other teams, ensuring appropriate approvals are obtained.\n\n - Manage contract documentation, version control, signature workflows, and executed agreement storage.\n\n - Identify nonstandard contractual terms and escalate substantive legal or business issues to the appropriate stakeholders.\n\n - Develop and improve contracting workflows, templates, playbooks, and standard operating procedures to streamline operations and reduce turnaround times.\n\n - Maintain contract trackers and reporting on volume, status, turnaround times, and bottlenecks.\n\n - Identify opportunities to automate and scale contracting processes as the company grows.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - At least 5+ years of experience in contracts management, commercial legal operations, or a related role.\n\n - Prior experience working directly with an in-house legal team, supporting attorneys and business stakeholders through commercial contracting processes.\n\n - Demonstrated experience independently managing commercial agreements from intake through execution.\n\n - Familiarity with commercial contracts, including NDAs, vendor agreements, SaaS agreements, and other technology-related agreements.\n\n - Strong understanding of contract lifecycle management, internal approval processes, and signature workflows.\n\n - Familiarity with AI-powered tools and workflows, including the ability to use AI agents and automation to streamline contracting processes, improve efficiency, and scale legal operations.\n\n - Excellent organizational and project management skills, with the ability to manage a high volume of requests and competing priorities.\n\n - Sound judgment — you know what you can handle independently, when to push a process forward, and when to escalate to Legal.\n\n - Strong written and verbal communication skills, with the ability to work effectively across legal, technical, and business teams.\n\n - Proactive, detail-oriented, and comfortable operating with significant autonomy in a fast-moving environment.\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"026e952c-8bdc-4feb-91be-27e29fdf9634","title":"AGC, Head of Litigation","department":"Legal","team":"Legal","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":"2026-10-30T13:30:07.178+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/026e952c-8bdc-4feb-91be-27e29fdf9634","applyUrl":"https://jobs.ashbyhq.com/reflectionai/026e952c-8bdc-4feb-91be-27e29fdf9634/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 hiring an experienced, business-minded litigation leader to build and lead our litigation and investigations function. You will serve as the company’s principal legal advisor on disputes and contentious matters, own litigation strategy across a broad portfolio, and establish the systems and processes that prepare Reflection for its next stage of growth.
You will combine strategic leadership with hands-on execution: assessing emerging threats, directing significant matters, advising senior leadership, managing outside counsel, and building practical approaches to litigation readiness, discovery, subpoenas, and investigations. Your remit will include complex technology and intellectual property disputes, commercial matters, and regulatory investigations, with responsibility for coordinating other disputes across the business.
You will work closely with our Head of Product & Regulatory and colleagues across Legal, Research, Engineering, Safety, Security, and the business to anticipate risk and inform decisions about model development, open-weight releases, and commercialization. You will help turn lessons from disputes and investigations into better advice, stronger processes, and informed business decisions.
This is an opportunity to define and operationalize an important legal function at a frontier AI company. You should be equally comfortable recommending a strategy to executives, working through technical facts with researchers, improving a legal brief, and building a process that the company can use repeatedly.
Lead litigation and dispute strategy. Develop, execute and own Reflection’s approach to threatened and active disputes, including copyright and other intellectual property claims, commercial disputes, privacy and consumer claims, and other significant matters. Coordinate with specialist counsel on employment, corporate, and other disputes as appropriate.
Drive matters from initial assessment through resolution. Develop case strategy, assess exposure and business implications, oversee factual development and discovery, guide briefing and witness preparation, and recommend settlement, trial, and appellate strategies. Pursue affirmative claims when they advance Reflection’s interests.
Build the litigation function. Establish practical systems for matter intake, escalation, deadline management, case assessment, budgeting, reporting, and knowledge management. Define the function’s operating model and processes, and develop its resourcing and team-building plan as company needs evolve.
Own litigation readiness and discovery. Design and oversee legal-hold, preservation, collection, review, and production processes in partnership with IT, Security, Research, Privacy, and outside specialists. Help develop information-governance practices that account for Reflection’s technical systems, data, and model-development lifecycle.
Manage subpoenas and other legal demands. Establish and operate workflows for civil discovery requests, government demands, and requests for information, including assessment of validity and scope, objections and negotiations, confidentiality protections, and timely responses.
Lead regulatory investigations and enforcement responses. Manage investigative inquiries and contested matters in close partnership with Product & Regulatory counsel and other relevant legal colleagues. Develop response strategies, coordinate factual submissions and witness preparation, and assess the implications of proposed resolutions.
Advise proactively on product and business risk. Partner with Research, Engineering, Product, and Legal colleagues on material disputes exposure associated with training data, model development and releases, licensing, commercial relationships, and public representations. Translate evolving litigation and enforcement developments into practical advice.
Support sensitive investigations and leadership decisions. Lead or coordinate internal investigations as appropriate, protect confidential information, and provide clear recommendations to the General Counsel and senior leadership on consequential legal, business, and reputational issues.
Build effective cross-functional practices. Deliver training and playbooks, coordinate with Communications on sensitive matters, and work with Finance and relevant legal colleagues on litigation reporting, insurance, indemnification, and potential financial exposure.
A J.D. and active membership in good standing with at least one U.S. state bar, with the ability to satisfy applicable requirements to practice in the role’s location.
~12+ years of relevant litigation experience, combining law-firm practice with in-house experience at a technology company. Demonstrated scope, functional ownership and operational capacity matter more than a precise number of years.
A strong record of independently leading complex matters, making strategic decisions, directing outside counsel, and advising business leaders through uncertainty.
Broad civil litigation experience and strong command of procedure, discovery, evidence, motion practice, and dispute resolution, including meaningful experience with technology or intellectual property disputes.
Experience building and implementing legal systems, workflows, or programs, with the ability to translate a policy or playbook into a process that people actually follow.
Experience handling government or regulatory investigations, subpoenas, or other investigative demands, and the judgment to identify when additional specialist expertise is needed.
Excellent legal analysis, writing, and communication skills, including the ability to explain complex risks clearly to executives and technical colleagues.
The curiosity and technical fluency to understand AI development and deployment, investigate complex factual records, and work credibly with researchers and engineers.
Strong business judgment and the ability to distinguish material risks from manageable uncertainty, prioritize effectively, and recommend a course of action.
A collaborative, low-ego approach and willingness to move between strategic leadership, detailed execution, and urgent operational work.
Substantial copyright litigation experience involving software, training data, digital platforms, licensing, or emerging technology.
Experience establishing or scaling a litigation function at a growing company.
Experience with open-source software, open-weight models, AI systems, or technically complex discovery.
Experience coordinating cross-border disputes or investigations and managing counsel in multiple jurisdictions.
Experience developing legal talent, leading teams, or using legal technology to improve matter management and discovery.
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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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 is hiring an experienced, business-minded litigation leader to build and lead our litigation and investigations function. You will serve as the company’s principal legal advisor on disputes and contentious matters, own litigation strategy across a broad portfolio, and establish the systems and processes that prepare Reflection for its next stage of growth.\n\nYou will combine strategic leadership with hands-on execution: assessing emerging threats, directing significant matters, advising senior leadership, managing outside counsel, and building practical approaches to litigation readiness, discovery, subpoenas, and investigations. Your remit will include complex technology and intellectual property disputes, commercial matters, and regulatory investigations, with responsibility for coordinating other disputes across the business.\n\nYou will work closely with our Head of Product & Regulatory and colleagues across Legal, Research, Engineering, Safety, Security, and the business to anticipate risk and inform decisions about model development, open-weight releases, and commercialization. You will help turn lessons from disputes and investigations into better advice, stronger processes, and informed business decisions.\n\nThis is an opportunity to define and operationalize an important legal function at a frontier AI company. You should be equally comfortable recommending a strategy to executives, working through technical facts with researchers, improving a legal brief, and building a process that the company can use repeatedly.\n\n\n\n\nWHAT YOU’LL DO\n\n - Lead litigation and dispute strategy. Develop, execute and own Reflection’s approach to threatened and active disputes, including copyright and other intellectual property claims, commercial disputes, privacy and consumer claims, and other significant matters. Coordinate with specialist counsel on employment, corporate, and other disputes as appropriate.\n\n - Drive matters from initial assessment through resolution. Develop case strategy, assess exposure and business implications, oversee factual development and discovery, guide briefing and witness preparation, and recommend settlement, trial, and appellate strategies. Pursue affirmative claims when they advance Reflection’s interests.\n\n - Build the litigation function. Establish practical systems for matter intake, escalation, deadline management, case assessment, budgeting, reporting, and knowledge management. Define the function’s operating model and processes, and develop its resourcing and team-building plan as company needs evolve.\n\n - Own litigation readiness and discovery. Design and oversee legal-hold, preservation, collection, review, and production processes in partnership with IT, Security, Research, Privacy, and outside specialists. Help develop information-governance practices that account for Reflection’s technical systems, data, and model-development lifecycle.\n\n - Manage subpoenas and other legal demands. Establish and operate workflows for civil discovery requests, government demands, and requests for information, including assessment of validity and scope, objections and negotiations, confidentiality protections, and timely responses.\n\n - Lead regulatory investigations and enforcement responses. Manage investigative inquiries and contested matters in close partnership with Product & Regulatory counsel and other relevant legal colleagues. Develop response strategies, coordinate factual submissions and witness preparation, and assess the implications of proposed resolutions.\n\n - Advise proactively on product and business risk. Partner with Research, Engineering, Product, and Legal colleagues on material disputes exposure associated with training data, model development and releases, licensing, commercial relationships, and public representations. Translate evolving litigation and enforcement developments into practical advice.\n\n - Support sensitive investigations and leadership decisions. Lead or coordinate internal investigations as appropriate, protect confidential information, and provide clear recommendations to the General Counsel and senior leadership on consequential legal, business, and reputational issues.\n\n - Build effective cross-functional practices. Deliver training and playbooks, coordinate with Communications on sensitive matters, and work with Finance and relevant legal colleagues on litigation reporting, insurance, indemnification, and potential financial exposure.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - A J.D. and active membership in good standing with at least one U.S. state bar, with the ability to satisfy applicable requirements to practice in the role’s location.\n\n - ~12+ years of relevant litigation experience, combining law-firm practice with in-house experience at a technology company. Demonstrated scope, functional ownership and operational capacity matter more than a precise number of years.\n\n - A strong record of independently leading complex matters, making strategic decisions, directing outside counsel, and advising business leaders through uncertainty.\n\n - Broad civil litigation experience and strong command of procedure, discovery, evidence, motion practice, and dispute resolution, including meaningful experience with technology or intellectual property disputes.\n\n - Experience building and implementing legal systems, workflows, or programs, with the ability to translate a policy or playbook into a process that people actually follow.\n\n - Experience handling government or regulatory investigations, subpoenas, or other investigative demands, and the judgment to identify when additional specialist expertise is needed.\n\n - Excellent legal analysis, writing, and communication skills, including the ability to explain complex risks clearly to executives and technical colleagues.\n\n - The curiosity and technical fluency to understand AI development and deployment, investigate complex factual records, and work credibly with researchers and engineers.\n\n - Strong business judgment and the ability to distinguish material risks from manageable uncertainty, prioritize effectively, and recommend a course of action.\n\n - A collaborative, low-ego approach and willingness to move between strategic leadership, detailed execution, and urgent operational work.\n\n\n\n\nBONUS POINTS\n\n - Substantial copyright litigation experience involving software, training data, digital platforms, licensing, or emerging technology.\n\n - Experience establishing or scaling a litigation function at a growing company.\n\n - Experience with open-source software, open-weight models, AI systems, or technically complex discovery.\n\n - Experience coordinating cross-border disputes or investigations and managing counsel in multiple jurisdictions.\n\n - Experience developing legal talent, leading teams, or using legal technology to improve matter management and discovery.\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"218d08cb-4838-4a96-bc6f-9d454d7b499d","title":"Product Marketing Manager","department":"Corporate Affairs","team":"Marketing","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-11-02T19:13:56.185+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/218d08cb-4838-4a96-bc6f-9d454d7b499d","applyUrl":"https://jobs.ashbyhq.com/reflectionai/218d08cb-4838-4a96-bc6f-9d454d7b499d/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.
You will own how the world understands Reflection's models and products. This is a founding product marketing role: you'll shape the story behind open weight model releases, open-source tools and enterprise offerings, then build the go-to-market foundation that carries it to developers, enterprises and governments. You'll work directly with researchers and engineers to turn frontier work into clear, credible narratives, and you'll decide how and where we launch. You'll set the standard for how a small, talent-dense team does product marketing at the frontier.
Own positioning, messaging and launch strategy for model releases, open-source projects and enterprise products
Work with research and engineering to understand where models are headed and turn technical breakthroughs into stories developers and buyers trust
Build one cohesive product narrative, then adapt it for developers, enterprises, partners and sovereign customers
Lead launches end to end, from audience definition and market research to assets, channels and measurement
Grow developer and open-source communities alongside community, technical writers and design
Build repeatable go-to-market foundations: research, competitive analysis, launch playbooks and measurable channels
Hire and lead a small full-stack product marketing team, and manage agencies where they add leverage
A track record of launching technical products to developers, such as AI frameworks, developer platforms or open-source projects
Experience building product marketing from 0 to 1, ideally standing up a new function inside a larger organization or a fast-growing company
Hands-on execution: you're comfortable writing the messaging and building the assets yourself, not just directing others
Ability to craft one story that works across very different audiences, from individual developers to enterprise buyers
Strong research and synthesis skills: you turn customer and market insight into clear go-to-market recommendations for product and research leaders
Experience with co-marketing with ecosystem partnerships
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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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\n\n\nYou will own how the world understands Reflection's models and products. This is a founding product marketing role: you'll shape the story behind open weight model releases, open-source tools and enterprise offerings, then build the go-to-market foundation that carries it to developers, enterprises and governments. You'll work directly with researchers and engineers to turn frontier work into clear, credible narratives, and you'll decide how and where we launch. You'll set the standard for how a small, talent-dense team does product marketing at the frontier.\n\n\n\n\nWHAT YOU'LL DO\n\n\n\n - Own positioning, messaging and launch strategy for model releases, open-source projects and enterprise products\n\n - Work with research and engineering to understand where models are headed and turn technical breakthroughs into stories developers and buyers trust\n\n - Build one cohesive product narrative, then adapt it for developers, enterprises, partners and sovereign customers\n\n - Lead launches end to end, from audience definition and market research to assets, channels and measurement\n\n - Grow developer and open-source communities alongside community, technical writers and design\n\n - Build repeatable go-to-market foundations: research, competitive analysis, launch playbooks and measurable channels\n\n - Hire and lead a small full-stack product marketing team, and manage agencies where they add leverage\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\n\n\n - A track record of launching technical products to developers, such as AI frameworks, developer platforms or open-source projects\n\n - Experience building product marketing from 0 to 1, ideally standing up a new function inside a larger organization or a fast-growing company\n\n - Hands-on execution: you're comfortable writing the messaging and building the assets yourself, not just directing others\n\n - Ability to craft one story that works across very different audiences, from individual developers to enterprise buyers\n\n - Strong research and synthesis skills: you turn customer and market insight into clear go-to-market recommendations for product and research leaders\n\n - Experience with co-marketing with ecosystem partnerships\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"60336677-e165-4401-8d02-5cb76887d170","title":"Brand Designer","department":"Corporate Affairs","team":"Marketing","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-11-02T19:13:51.639+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/60336677-e165-4401-8d02-5cb76887d170","applyUrl":"https://jobs.ashbyhq.com/reflectionai/60336677-e165-4401-8d02-5cb76887d170/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 looking for a founding Brand Designer to help define and own Reflection’s visual identity. As the first design hire on the marketing team, you’ll play a foundational role in evolving our brand and setting the creative bar across the company. This is a hands-on role for a uniquely versatile design leader who can translate complex technical ideas into clear, distinctive visual communication. We’re looking for someone with exceptional craft, strong conceptual instincts, and the range to work across formats while building a coherent, recognizable brand system as Reflection grows.
Develop creative concepts and visual systems that bring the Reflection brand to life across channels
Translate complex technical ideas into clear, compelling visual stories - from charts and diagrams to research concepts
Create high-quality digital assets across digital channels including, website, launch pages, social, presentations, email, and other owned channels
Build and evolve scalable brand systems, templates, and design standards that help the company move quickly without compromising quality or consistency
Partner closely with web engineers and external creative collaborators to turn ideas and designs into polished digital experiences
Help shape the creative direction of events, physical experiences, merchandise, and other expressions of the brand
Continually push the brand forward, identifying opportunities to make Reflection more distinctive, memorable, and culturally relevant as the company grows
5+ years in brand or visual design, ideally at a tech company or agency
A portfolio that shows strong concepts, great craft, and brand systems you’ve built
Range across formats, from fast-turn social and digital assets to campaigns, launches, and events
Ability to make technical or complex ideas clear through visuals like diagrams and data visualization
Experience partnering with technical teams such as research, engineering, or product
Experience leading a team and directing external creative partners: setting direction, giving clear feedback, and holding a high bar
Comfort moving fast and making confident design calls amid ambiguity
Web and responsive design fluency
Experience leading or building a design team
Experience in AI, developer tools, or other deeply technical categories
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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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\n\n\nReflection is looking for a founding Brand Designer to help define and own Reflection’s visual identity. As the first design hire on the marketing team, you’ll play a foundational role in evolving our brand and setting the creative bar across the company. This is a hands-on role for a uniquely versatile design leader who can translate complex technical ideas into clear, distinctive visual communication. We’re looking for someone with exceptional craft, strong conceptual instincts, and the range to work across formats while building a coherent, recognizable brand system as Reflection grows.\n\n\n\n\nWHAT YOU'LL DO\n\n\n\n - Develop creative concepts and visual systems that bring the Reflection brand to life across channels\n\n - Translate complex technical ideas into clear, compelling visual stories - from charts and diagrams to research concepts\n\n - Create high-quality digital assets across digital channels including, website, launch pages, social, presentations, email, and other owned channels\n\n - Build and evolve scalable brand systems, templates, and design standards that help the company move quickly without compromising quality or consistency\n\n - Partner closely with web engineers and external creative collaborators to turn ideas and designs into polished digital experiences\n\n - Help shape the creative direction of events, physical experiences, merchandise, and other expressions of the brand\n\n - Continually push the brand forward, identifying opportunities to make Reflection more distinctive, memorable, and culturally relevant as the company grows\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n\n\n - 5+ years in brand or visual design, ideally at a tech company or agency\n\n - A portfolio that shows strong concepts, great craft, and brand systems you’ve built\n\n - Range across formats, from fast-turn social and digital assets to campaigns, launches, and events\n\n - Ability to make technical or complex ideas clear through visuals like diagrams and data visualization\n\n - Experience partnering with technical teams such as research, engineering, or product\n\n - Experience leading a team and directing external creative partners: setting direction, giving clear feedback, and holding a high bar\n\n - Comfort moving fast and making confident design calls amid ambiguity\n\n - Web and responsive design fluency\n\n - Experience leading or building a design team\n\n - Experience in AI, developer tools, or other deeply technical categories\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"},{"id":"dea72756-5e23-4a04-813f-5af718605edb","title":"Member of Deployment Staff - Public Sector","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":"2026-11-03T22:52:31.453+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/dea72756-5e23-4a04-813f-5af718605edb","applyUrl":"https://jobs.ashbyhq.com/reflectionai/dea72756-5e23-4a04-813f-5af718605edb/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.
Members of Deployment Staff are Reflection’s technical owners in every customer engagement. You will own the technical execution of strategic engagements end to end, from discovery and solution architecture through proof-of-concept and production delivery. The work spans every layer of the AI stack: GPU orchestration, inference, model post-training, and the custom harnesses and applications built on top.
We’re seeking exceptional people with depth across the AI stack who can partner with customer’s ML and engineering teams, win and deliver strategic engagements, and turn what they learn in the field into input that shapes our models and platform.
In this role, you will support U.S. government customers, deploying Reflection’s open models into secure, classified, or edge environments.
This position requires an active U.S. government clearance (TS/SCI preferred).
Secure Deployment: Design, deploy, and operate agentic systems in air-gapped and classified networks, including fully offline model serving without access to external services.
Mission Engagement: Work on-site with government customers, including in SCIFs. Turn mission requirements into secure AI solutions that meet accreditation and compliance standards.
Technical Discovery & Architecture: Lead deep technical discovery with customer teams across inference workloads, agentic applications and post-training. Understand customer needs and translate them into feasible technical solutions with clear success criteria to make Reflection the technical winner in every deal.
Benchmarks & POCs: Own proofs of concept end to end: define evaluation criteria with the customer, benchmark on their real workloads, and demonstrate Reflection’s quality, latency, and cost against competing options.
Delivery: Architect and build complex AI systems, including agentic applications, model-serving infrastructure, evaluations, and post-training recipes. Own the customer engagement and relationship: define project plans, sequence and manage work across workstreams, and keep customer stakeholders aligned.
Product & Research Contribution: Identify repeatable patterns and model gaps in the field that should shape our platform or model capabilities. Build prototypes, validate that they meet customer needs, and generalize them into Reflection’s platform and research priorities.
Playbooks & Operating Model: Help shape and scale the deployment organization by defining playbooks, reference architectures, reusable technical assets and best practices that make every teammate more effective and support the team’s growth.
Experience delivering software into classified or air-gapped government environments: you know the security controls, the accreditation processes, and the limits on offline deployment.
Strong technical fluency: comfortable reading, writing and reasoning about code, architecture and system behavior, with strong Python and experience shipping production-grade systems.
A track record of leading complex technical projects: coordinating contributors across work-streams, making practical tradeoffs, removing obstacles, and owning end-to-end delivery outcomes.
Hands-on infrastructure and inference experience: you’ve deployed multi-node GPU clusters (Kubernetes or Slurm), served large models in production (vLLM, SGLang), and rigorously benchmarked tradeoffs like quantization, caching, batching and speculative decoding.
Agent engineering: you’ve shipped LLM-based agents to production in the last 1–2 years, designed their harnesses (tool calling and MCP, context management, orchestration, guardrails) and the evals behind them, and know when post-training can be used.
5+ years of relevant experience delivering technical systems, including 2+ years in a technical leadership role (e.g., tech lead, engineering manager or founding engineer).
Demonstrated ability and interest in customer-facing work: understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes. You can go from a whiteboard session to debugging a deployment in the customer’s environment.
Self-starter with high agency and ownership who excels in fast-paced startup environments where the 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.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
","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\nMembers of Deployment Staff are Reflection’s technical owners in every customer engagement. You will own the technical execution of strategic engagements end to end, from discovery and solution architecture through proof-of-concept and production delivery. The work spans every layer of the AI stack: GPU orchestration, inference, model post-training, and the custom harnesses and applications built on top. \n\nWe’re seeking exceptional people with depth across the AI stack who can partner with customer’s ML and engineering teams, win and deliver strategic engagements, and turn what they learn in the field into input that shapes our models and platform.\n\nIn this role, you will support U.S. government customers, deploying Reflection’s open models into secure, classified, or edge environments.\n\nThis position requires an active U.S. government clearance (TS/SCI preferred).\n\n \n\n\nWHAT YOU'LL DO\n\n - Secure Deployment: Design, deploy, and operate agentic systems in air-gapped and classified networks, including fully offline model serving without access to external services.\n\n - Mission Engagement: Work on-site with government customers, including in SCIFs. Turn mission requirements into secure AI solutions that meet accreditation and compliance standards.\n\n - Technical Discovery & Architecture: Lead deep technical discovery with customer teams across inference workloads, agentic applications and post-training. Understand customer needs and translate them into feasible technical solutions with clear success criteria to make Reflection the technical winner in every deal.\n\n - Benchmarks & POCs: Own proofs of concept end to end: define evaluation criteria with the customer, benchmark on their real workloads, and demonstrate Reflection’s quality, latency, and cost against competing options.\n\n - Delivery: Architect and build complex AI systems, including agentic applications, model-serving infrastructure, evaluations, and post-training recipes. Own the customer engagement and relationship: define project plans, sequence and manage work across workstreams, and keep customer stakeholders aligned.\n\n - Product & Research Contribution: Identify repeatable patterns and model gaps in the field that should shape our platform or model capabilities. Build prototypes, validate that they meet customer needs, and generalize them into Reflection’s platform and research priorities.\n\n - Playbooks & Operating Model: Help shape and scale the deployment organization by defining playbooks, reference architectures, reusable technical assets and best practices that make every teammate more effective and support the team’s growth.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience delivering software into classified or air-gapped government environments: you know the security controls, the accreditation processes, and the limits on offline deployment.\n\n - Strong technical fluency: comfortable reading, writing and reasoning about code, architecture and system behavior, with strong Python and experience shipping production-grade systems.\n\n - A track record of leading complex technical projects: coordinating contributors across work-streams, making practical tradeoffs, removing obstacles, and owning end-to-end delivery outcomes.\n\n - Hands-on infrastructure and inference experience: you’ve deployed multi-node GPU clusters (Kubernetes or Slurm), served large models in production (vLLM, SGLang), and rigorously benchmarked tradeoffs like quantization, caching, batching and speculative decoding.\n\n - Agent engineering: you’ve shipped LLM-based agents to production in the last 1–2 years, designed their harnesses (tool calling and MCP, context management, orchestration, guardrails) and the evals behind them, and know when post-training can be used.\n\n - 5+ years of relevant experience delivering technical systems, including 2+ years in a technical leadership role (e.g., tech lead, engineering manager or founding engineer).\n\n - Demonstrated ability and interest in customer-facing work: understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes. You can go from a whiteboard session to debugging a deployment in the customer’s environment.\n\n - Self-starter with high agency and ownership who excels in fast-paced startup environments where the playbooks are still being written.\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.\n\n\n\nEqual Employment Opportunity Statement\nReflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.\n\nWe provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai.\n\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.\n\n\n\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf"}],"apiVersion":"1"}