Research Engineer, ML Infrastructure
Remote • San Francisco office • FullTime
Posted 23d ago
Job Location
San Francisco office
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Chai Discovery is building the computer-aided design suite for molecules, with major pharmaceutical companies already using their platform to accelerate drug discovery. They are at the forefront of reinventing life sciences through AI, developing frontier models that understand biochemical structure and interaction. This role is an opportunity to push the boundaries of AI drug design alongside a skilled and dedicated team.
Responsibilities
- Develop core frameworks for model training and evaluation to ensure performance, resource efficiency, and reliability at scale.
- Build the training stack at model, layer, and kernel levels, optimizing workloads through parallelism, quantization, and custom kernels.
- Profile end-to-end training runs on large GPU clusters, identifying and resolving bottlenecks and failures.
- Monitor training throughput, utilization, and uptime.
- Ensure new model architectures and training recipes scale efficiently from experiments to large-scale runs.
- Enhance the reliability of the ML training stack through fault tolerance, checkpointing, and deterministic orchestration for long-running jobs.
Requirements
- Deep industry experience working with top AI/ML teams on relevant problems and systems.
- Strong software system design skills.
- Proficiency in Python.
- Fluency in PyTorch or JAX.
- Demonstrated exceptional impact on real-world problems and systems through technical depth.
Benefits
- Opportunity to work at the vanguard of AI research and frontier biology.
- Work with world-class people.
- Contribute to a mission that matters.
- High velocity and ownership culture.
- Competitive compensation.