Compensation Overview

As part of this role, you will

• Iterate very quickly with product teams to ship the latest optimizations to Anyscale platform, Anyscale Endpoints, and various open source offerings.
• Work closely with research teams on LLM engines like vLLM, TensorRT-LLM
• Follow the latest state-of-the-art in the open source and the research community, implementing and extending best practices 

We’d love to hear from you if you have

• Prior experience working on GPUs / CUDA 
• Solid understanding of operating systems and/or networking fundamentals and experience in such optimizations
• Familiarity with deep learning and deep learning frameworks (e.g. PyTorch)

Bonus points!

• ML Systems knowledge
• Experience training deep learning models
• Contributions to deep learning frameworks (PyTorch, TensorFlow)
• Contributions to deep learning compilers (Triton, TVM, MLIR)
• Experience using Ray

Compensation

• At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $170,112 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted.


This role is also eligible to participate in Anyscale’s Equity and Benefits offerings, including the following:
• Stock Options
• Healthcare plans, with premiums covered by Anyscale at 99%
• 401k Retirement Plan
• Wellness stipend
• Education stipend
• Paid Parental Leave
• Flexible Time Off
• Commute reimbursement
• 100% of in-office meals covered