Anyscale is commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Ray aims to provide a universal API for building distributed applications, requiring a distributed system with high levels of performance and reliability. The Ray Core Team develops and maintains the Ray C++ backend, including the distributed scheduler, language runtime integration, and I/O and memory subsystems. They are responsible for the reliability, scalability, and performance of Ray, as well as ensuring it supports higher-level libraries and use cases. The team balances new features, distributed libraries, test infrastructure improvements, debugging, and long-term architectural enhancements.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed