Salary
💰 $325,000 - $405,000 per year
About the role
- Build tooling or infrastructure to accelerate the teams you work on
- Dig into issues across the stack, even if it goes outside your team’s remit
- Help co-design ML with systems considerations
- Make clever tradeoffs to unblock exploration while maintaining sanity
- Do what it takes to unblock research progress
- Empower researchers and accelerate research progress by maximizing researcher and hardware efficiency
Requirements
- Experience working with researchers in a dynamic research environment
- Experience with ML experimentation and LLM training or inference
- Strong software engineering skills
- Proficient in Python
- Love figuring out how to make ML systems work better and making GPUs more productive
- Ability to work from the US office three days per week (role based in San Francisco, CA)