← All roles

Research Engineer, ML Infrastructure

Chai Discovery· Research
Apply on company site
San Francisco officeFull-timePosted 3w ago

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.

Responsibilities

  • 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.

Qualifications

  • Strong software system design skills
  • Proficiency in Python
  • Pytorch or JAX fluency
  • Technical spikes with deep, real-world impact on AI/ML systems

Skills

Required:PythonPyTorch or JAXSoftware system design
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Chai Discovery

Building frontier artificial intelligence to predict and reprogram the interactions between biochemical molecules.

Building frontier artificial intelligence to predict and reprogram the interactions between biochemical molecules.

artificial intelligencebiochemical moleculesliquid-ai-recruiting-target
Company profileWebsite

More open roles at Chai Discovery