April 18
🏢 In-office - San Francisco
• 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.
• 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.
• 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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