As part of this role, you will:
- Develop a highly available service for ML model serving.
- Enhance Ray Serve and our other libraries to simplify the development of next-generation ML applications in production.
- Improve our autoscaling capabilities to drive performance enhancements and cost savings.
- Optimize latency and throughput for both single- and multi-model serving scenarios.
We'd love to hear from you if you have:
- A solid background in algorithms, data structures, and system design.
- Experience working with modern machine learning tooling, including PyTorch, TensorFlow, and JAX.
- At least 2+ year of relevant work experience.
Bonus points!
- Experience in building and maintaining open-source projects.
- Experience in building and operating machine learning infrastructure in production.
- Experience in building highly available serving systems.
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.
- 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
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