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Listed location: San Francisco office
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
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Job description supplied by Chai Discovery; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
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, Pfizer, and Novartis 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.
Skills mentioned
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Frequently asked questions
Is the Research Engineer - ML Infrastructure position at Chai Discovery remote?
The Research Engineer - ML Infrastructure role at Chai Discovery does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Research Engineer - ML Infrastructure role?
Chai Discovery is hiring for a full-time Research Engineer - ML Infrastructure position.
Which skills are mentioned for the Research Engineer - ML Infrastructure job at Chai Discovery?
Detected skill labels include Python, PyTorch, JAX, GPU. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Research Engineer - ML Infrastructure position at Chai Discovery?
You can apply for the Research Engineer - ML Infrastructure role directly through Chai Discovery's official application link provided on this page.