Chai Discovery

ABOUT CHAI DISCOVERY Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach. AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly https://endpoints.news/eli-lilly-chai-discovery-sign-ai-software-deal/, Pfizer https://www.forbes.com/sites/amyfeldman/2026/06/04/why-pfizer-and-eli-lilly-are-betting-on-this-13-billion-ai-drug-discovery-startup/, and Novartis https://www.chaidiscovery.com/news/novartis-partnership are adopting our platform to power their drug discovery programs. We value diverse perspectives and are ready to find greatness in unexpected places. About the role Platform engineers make Chai's models fast, cheap, and reliable at scale, and enable the outer loop that accelerates research: the infrastructure and software abstractions used to train, eval, and understand models. You'll own the serving stack that turns our frontier models into a product scientists depend on: latency, throughput, GPU efficiency, batching, and autoscaling across a large multi-cloud GPU fleet. You'll also contribute to the work that enables turning raw models into product-ready pipelines, and the experiment and observability tooling that lets a researcher ship faster. You've built high-performance services that developers love, moved ML systems into production at scale, and can see around corners before they become outages. You'll work closely with the researchers who train the models, the product engineers who build on them, and the commercial team deploying them to the world's largest pharma companies. About you We index on systems judgment, ownership, and the scars that come from having run production infrastructure before. We're looking for engineers who get obsessed with hard problems and don't give up easily. We look for: - 4+ years building production systems, with real depth in performance, distributed systems, or ML serving - Experience optimizing model inference: GPU utilization, batching, quantization, caching, or kernel-level work - A platform mindset: you like building the tools and abstractions that make other engineers and researchers faster - End-to-end ownership of 24/7 systems, including observability, alerting, and incident response - Experience across both 0-to-1 buildouts and 1-to-n scale-ups, with an always-evolving playbook you bring wherever you go - The instinct to treat cost and efficiency as first-class constraints, not afterthoughts A background in biology is not required. What makes the difference is technical excellence, curiosity about the domain, and grit. WE OFFER The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.

ABOUT CHAI DISCOVERY Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach. AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly https://endpoints.news/eli-lilly-chai-discovery-sign-ai-software-deal/, Pfizer https://www.forbes.com/sites/amyfeldman/2026/06/04/why-pfizer-and-eli-lilly-are-betting-on-this-13-billion-ai-drug-discovery-startup/, and Novartis https://www.chaidiscovery.com/news/novartis-partnership are adopting our platform to power their drug discovery programs. We value diverse perspectives and are ready to find greatness in unexpected places. ABOUT THE ROLE We are hiring research scientists with outlier insight who can drive new avenues for the work we pursue. From pre-training large diffusion models and architecture design, to post-training and inference time scaling, we draw upon the best ideas from within our domain and across the field. Our models have moved beyond protein structure prediction into real-world therapeutic engineering—and we have only just begun. Our team hails from physics, math, theoretical computer science, computational biology and related disciplines. Everyone is capable and self-sufficient, and everyone helps foster a highly collaborative and collegial environment. Our view is that executing on a long-term research program requires bringing together the right people, with access to the best resources, aligned towards common objectives. And nothing is more essential to our mission and our business than the progress of our research. ABOUT YOU We are looking for researchers driven by impact and foundational progress. We index on sustained focus, rigor and results—people who get obsessed with hard problems and don't give up easily. Folks with a nose for tackling the right questions at the right time, alongside an ample dose of grit and curiosity. We value academic training, research track record, and proven industry accomplishments; we are also more than willing to make a bet on rising talent. We look for engineering capability as well as literature fluency. WE OFFER The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.

ABOUT CHAI DISCOVERY Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach. AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly https://endpoints.news/eli-lilly-chai-discovery-sign-ai-software-deal/, Pfizer https://www.forbes.com/sites/amyfeldman/2026/06/04/why-pfizer-and-eli-lilly-are-betting-on-this-13-billion-ai-drug-discovery-startup/, and Novartis https://www.chaidiscovery.com/news/novartis-partnership are adopting our platform to power their drug discovery programs. We value diverse perspectives and are ready to find greatness in unexpected places. ABOUT THE ROLE Make our models performant, fast, and reliable at scale by developing the core frameworks used to train and evaluate our ML models. - Build datasets and algorithms to systematically evaluate and monitor model performance. - Analyze model failure modes, working closely with researchers on experiments to mitigate them. - Own the distributed training stack, removing runtime and reliability bottlenecks across all layers of the stack and architecture—parallelism, quantization, and kernel optimization and whatever else might move the needle. - Own and contribute to our auto research and auto kernels frameworks. Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to push the frontier of AI drug design, working alongside a rigorous and craft-obsessed team. ABOUT YOU Ideal backgrounds include deep industry experience working with top AI/ML teams on the kinds of problems we describe above—with strong software system design skills, proficiency in Python, and Pytorch or JAX fluency. We look for technical spikes where you have gone deep and demonstrated exceptional impact on real-world problems and systems. WE OFFER The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.

ABOUT CHAI DISCOVERY Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach. AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly https://endpoints.news/eli-lilly-chai-discovery-sign-ai-software-deal/, Pfizer https://www.forbes.com/sites/amyfeldman/2026/06/04/why-pfizer-and-eli-lilly-are-betting-on-this-13-billion-ai-drug-discovery-startup/, and Novartis https://www.chaidiscovery.com/news/novartis-partnership are adopting our platform to power their drug discovery programs. We value diverse perspectives and are ready to find greatness in unexpected places. ABOUT THE ROLE Build agent-powered systems and frameworks to improve model training, accelerate inference, and help our research organization move faster. Automate the research loop itself rather than just the models it produces, including the tooling and datasets that allow agents to run experiments, evaluate results and propose next steps. Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to push the frontier of AI drug design, working alongside a rigorous and craft-obsessed team. ABOUT YOU Ideal backgrounds include deep industry experience working with top AI/ML teams on agent-powered software—with strong system design skills, proficiency in Python, and Pytorch or JAX fluency. We look for technical spikes where you have gone deep and demonstrated exceptional impact on real-world problems and systems. WE OFFER The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.

ABOUT CHAI DISCOVERY Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach. AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly https://endpoints.news/eli-lilly-chai-discovery-sign-ai-software-deal/, Pfizer https://www.forbes.com/sites/amyfeldman/2026/06/04/why-pfizer-and-eli-lilly-are-betting-on-this-13-billion-ai-drug-discovery-startup/, and Novartis https://www.chaidiscovery.com/news/novartis-partnership are adopting our platform to power their drug discovery programs. We value diverse perspectives and are ready to find greatness in unexpected places. ABOUT THE ROLE Make our models performant, resource efficient and reliable at scale by developing the core frameworks for model training and evaluation, in close partnerships with fellow researchers and engineers. - Build our training stack across model, layer, and kernel levels; optimize workloads through parallelism, quantization, and custom kernels. - Profile end-to-end training runs on large GPU clusters; eliminate bottlenecks and failures; monitor throughput, utilization, and uptime. - Ensure new model architectures and training recipes scale efficiently, from early experiments to frontier-scale runs. - Make our ML training stack maximally reliable: fault tolerance, checkpointing, and deterministic orchestration for long-running, large-scale jobs. Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to push the frontier of AI drug design, working alongside a rigorous and craft-obsessed team. ABOUT YOU Ideal backgrounds include deep industry experience working with top AI/ML teams on the kinds of problems and systems we describe above—with strong software system design skills, proficiency in Python, and Pytorch or JAX fluency. We look for technical spikes where you have gone deep and demonstrated exceptional impact on real-world problems and systems. WE OFFER The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.