A modelling residency puts you in the center of a frontier lab. You'll be embedded in real work: placed on key production and research projects and mentored directly by our modelling team. We're building our frontier innovation around efficiency, gradient-free exploration, real-time learning, and interface design. By the end of this 8-month residency, our hope is that you leave with a track record you're proud to put on your resume and experiences that meaningfully upskill you.
Innovation: Build the future of adaptive algorithms that continuously learn. Co-design algorithms that react in real-time to product signal and feedback, and explore new ways of capturing feedback that make those algorithms better
Cross-Stack Optimization: Collaborate across software, hardware, and algorithmic domains to drive system-wide efficiency gains
Measure What Matters: We believe the ultimate signal of value is real-world impact. The smartest algorithm is one capable of interacting with the world — that's why product signal matters so much to how we work.
We value impact over credentials. Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to check every box - but you do need to be adaptable.
A degree or equivalent research/engineering experience in a computer science field.
Genuine interest in, and at least one project touching: model efficiency, synthetic data, interfaces, real-time alignment, or algorithmic optimization
Systems thinking — the ability to understand and optimize across the full ML stack
Strong Python skills and experience with deep learning frameworks (PyTorch, JAX, or TensorFlow)
Familiarity with model optimization techniques such as RLHF and fine-tuning
Strong communication and self-awareness — you know how to collaborate in a remote environment and you're open to feedback
You care about technical excellence and last mile impact. We value impact more than effort, and about owning outcomes end to end.
Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.
","descriptionPlain":"THE ROLE\n\nA modelling residency puts you in the center of a frontier lab. You'll be embedded in real work: placed on key production and research projects and mentored directly by our modelling team. We're building our frontier innovation around efficiency, gradient-free exploration, real-time learning, and interface design. By the end of this 8-month residency, our hope is that you leave with a track record you're proud to put on your resume and experiences that meaningfully upskill you.\n\n\n\n\nRESPONSIBILITIES\n\n - Innovation: Build the future of adaptive algorithms that continuously learn. Co-design algorithms that react in real-time to product signal and feedback, and explore new ways of capturing feedback that make those algorithms better\n\n - Cross-Stack Optimization: Collaborate across software, hardware, and algorithmic domains to drive system-wide efficiency gains\n\n - Measure What Matters: We believe the ultimate signal of value is real-world impact. The smartest algorithm is one capable of interacting with the world — that's why product signal matters so much to how we work.\n\n \n\n\nQUALIFICATIONS\n\nWe value impact over credentials. Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to check every box - but you do need to be adaptable.\n\n - A degree or equivalent research/engineering experience in a computer science field.\n\n - Genuine interest in, and at least one project touching: model efficiency, synthetic data, interfaces, real-time alignment, or algorithmic optimization\n\n - Systems thinking — the ability to understand and optimize across the full ML stack\n\n - Strong Python skills and experience with deep learning frameworks (PyTorch, JAX, or TensorFlow)\n\n - Familiarity with model optimization techniques such as RLHF and fine-tuning\n\n - Strong communication and self-awareness — you know how to collaborate in a remote environment and you're open to feedback\n\n - You care about technical excellence and last mile impact. We value impact more than effort, and about owning outcomes end to end.\n\n\n\nABOUT US\n\nMost AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"5635dd7e-a0ca-414d-b738-71500502dba9","title":"Research Scientist / Research Engineer","department":"Modelling","team":"Modelling","employmentType":"FullTime","location":"United States","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"Singapore ","address":{"postalAddress":{"addressCountry":"Singapore","addressLocality":"Singapore"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York State","addressCountry":"United States","addressLocality":"New York"}}},{"location":"United Kingdom","address":{"postalAddress":{"addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"Mexico","address":{"postalAddress":{"addressCountry":"Mexico","addressLocality":"Mexico City"}}},{"location":"France","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}}},{"location":"India","address":{"postalAddress":{"addressCountry":"India","addressLocality":""}}},{"location":"Ireland","address":{"postalAddress":{"addressCountry":"Ireland","addressLocality":"Dublin"}}},{"location":"Germany","address":{"postalAddress":{"addressCountry":"Germany","addressLocality":"Berlin"}}},{"location":"Netherlands","address":{"postalAddress":{"addressCountry":"Netherlands"}}},{"location":"Brazil","address":{"postalAddress":{"addressRegion":"Sao Paulo","addressCountry":"Brazil","addressLocality":"Sao Paulo"}}},{"location":"Argentina","address":{"postalAddress":{"addressCountry":"Argentina"}}},{"location":"Canada","address":{"postalAddress":{"addressCountry":"Canada","addressLocality":"Toronto"}}}],"publishedAt":"2026-03-15T20:28:32.818+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/adaption/5635dd7e-a0ca-414d-b738-71500502dba9","applyUrl":"https://jobs.ashbyhq.com/adaption/5635dd7e-a0ca-414d-b738-71500502dba9/application","descriptionHtml":"Sweat the details. Technical excellence requires obsessing over every detail. We co-design serving, algorithms, and interface as one system to maximize efficiency and enable real-time adaptation.
Move with conviction. Extraordinary results require extraordinary effort. We operate with urgency as a unified team, concentrating resources on a few high-conviction bets where research and impact intersect.
Metrics that matter. The most intelligent system will increasingly be defined by building an algorithm that can interact with the world. Research ideas are tested through working products. If it doesn't improve what users can do, we question whether it matters. We share what moves the field; we don't optimize for paper count.
This is a research role which is focused on real world impact. We care about building our frontier innovation around efficiency, gradient free exploration, real time learning and interface design. A revolution is underway where the cost of generating synthetic data is now low enough that we can treat the data space as malleable and something which can be optimized. We can steer synthetic data towards desirable properties and make previously invisible worlds with limited data coverage more visible. The most intelligent system will increasingly be defined by building an algorithm that can interact with the world. This means for the first time researchers who care about intelligence need also be obsessed with how a model interacts. If any of these statements resonate with you, we would like to hear from you.
Innovation: innovate on our product to co-design algorithms that react real-time to product signal and feedback. Design new ways of giving feedback that drive better algorithms.
Cross-Stack Optimization: collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains
Measure what matters: we believe strongly that the ultimate signal of value is whether we have real world impact. Our current algorithms are capable of interacting with the world which is why product matters so much.
A PhD or equivalent research experience in a computer science field
4-5+ years of industry experience
Deep expertise in at least one area: model efficiency, real time alignment or algorithmic optimization
Systems thinking ability to understand and optimize across the full ML stack
Strong programming skills in Python. Experience with deep learning frameworks (PyTorch, JAX, TensorFlow)
Knowledge of model optimization techniques (RLHF, finetuning)
Experience in an industry lab with computing at scale
Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.
Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
Well-Being: Comprehensive medical benefits and generous paid time off.
Sweat the details. Technical excellence requires obsessing over every detail. We co-design serving, algorithms, and interface as one system to maximize efficiency and enable real-time adaptation.
Move with conviction. Extraordinary results require extraordinary effort. We operate with urgency as a unified team, concentrating resources on a few high-conviction bets where research and impact intersect.
Metrics that matter. The most intelligent system will increasingly be defined by building an algorithm that can interact with the world. Research ideas are tested through working products. If it doesn't improve what users can do, we question whether it matters. We share what moves the field; we don't optimize for paper count.
This is a research role focused on building models that continuously evolve with the world. Our frontier work centers on efficiency, gradient-free exploration, real-time learning, and interface design. The most intelligent systems will increasingly be defined not just by what they know, but by how well they can interact with the world. For the first time, researchers who care deeply about intelligence and efficiency must also be obsessed with the interface through which a model acts. If any of this resonates, we'd love to hear from you.
Innovation: You have ideas and you move fast. You care about impact, not just effort.
Cross-Stack Optimization: You collaborate across software, hardware, and algorithmic domains to unlock system-wide efficiency gains.
Measure What Matters: The ultimate signal of value is real-world impact. Our current algorithms are capable of interacting with the world which is why product thinking is inseparable from research.
A PhD or equivalent research experience in a computer science field
4-5+ years of industry experience
Publishing record at ICML, NeurIPS, ACL, ICLR, EMNLP.
Deep expertise in at least one area: model efficiency, real time alignment or algorithmic optimization
Systems thinking ability to understand and optimize across the full ML stack
Strong programming skills in Python. Experience with deep learning frameworks (PyTorch, JAX, TensorFlow)
Knowledge of model optimization techniques (RLHF, finetuning)
Experience in an industry lab with computing at scale
Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.
Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
Well-Being: Comprehensive medical benefits and generous paid time off.
You'll build the multi-tenant platform that turns our inference infrastructure into a product enterprises and sovereign customers can trust.
You'll own the systems between customers and our inference stack: authentication, tenant isolation, quotas, metering, entitlements, and the public API. Security and auditability are core product requirements, not layers added later.
Build the multi-tenant control plane, including credentials, quotas, rate limits, and tenant isolation.
Own our public inference APIs, including streaming, versioning, compatibility, and migrations.
Implement accurate usage metering, credit reservation, and entitlement enforcement.
Build enterprise capabilities such as SSO, access controls, audit logs, and data residency.
Test and continuously strengthen the tenant boundary.
5+ years in backend, infrastructure, or platform engineering, including ownership of a multi-tenant API or control plane.
Deep knowledge of authentication, credential management, rate limiting, quotas, and tenant isolation.
Strong Python skills and sound API design judgment, ideally with high-throughput or streaming APIs.
Experience with metering, billing, credits, or entitlements, including idempotency, reconciliation, and audit trails.
Experience with enterprise or regulated environments, such as SSO, SAML/OIDC, SOC 2, data residency, or sovereign deployments.
Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.
Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
Well-Being: Comprehensive medical benefits and generous paid time off.
You'll own the cost and performance of our inference stack. Your work will determine how efficiently we serve models as workloads, traffic, and hardware change.
You'll work closely with the engineers operating the serving fleet while owning the core performance levers: caching, batching, quantization, decoding, and kernel-level optimization. Success means improving throughput and latency without compromising reliability or model quality.
Improve throughput, cost, and tail latency through KV-cache management, continuous batching, speculative decoding, and quantization.
Optimize long-context prefill and decode workloads based on real production traffic.
Tune routing between our infrastructure and external providers based on cost, capacity, and performance.
Work within serving engines such as vLLM, SGLang, and TensorRT-LLM, going below the framework when needed.
Build profiling and measurement systems that show where time, memory, and compute are being spent.
5+ years in ML systems, inference infrastructure, or performance engineering, with measurable improvements in cost or latency.
Deep understanding of model serving, including prefill and decode, memory bandwidth, batching, and concurrency.
Production experience with serving engines such as vLLM, SGLang, or TensorRT-LLM.
Strong Python skills and proficiency in C++, Rust, or another systems language.
Experience with GPU performance, including CUDA, NCCL, mixed precision, memory layout, kernels, or quantization.
Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.
Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
Well-Being: Comprehensive medical benefits and generous paid time off.
You'll build the agent systems at the core of our product. These systems turn customer goals into reliable, multi-step execution across real tools and services.
This is not about building demos. You'll work on agents that operate under real constraints: incomplete information, external failures, limited budgets, and unpredictable traffic. You'll own how they plan, use tools, recover from errors, and improve over time.
Design agent architectures for planning, reasoning, tool use, memory, and integration with external systems and data.
Improve reliability on long-running, multi-step tasks, including failure recovery.
Build the loops that let agents improve with real use, so performance compounds instead of staying frozen.
Develop evaluations that measure agent performance and resist being gamed.
Make practical tradeoffs between quality, latency, cost, and complexity.
5+ years building production ML or backend systems, including taking LLM or agent applications from prototype to production.
Strong understanding of agent design: planning, reasoning, tool use, orchestration, and memory.
Experience building rigorous evaluation systems, plus execution tracing and observability for agents, with a focus on reproducibility.
Familiarity with the OpenAI Responses API, MCP, and server- versus client-side execution.
Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.
Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
Well-Being: Comprehensive medical benefits and generous paid time off.