Engineering Manager, Ray Data
Anyscale · San Francisco
About this role
About Anyscale: At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date. About the role: Anyscale is looking for an engineering leader to manage the open source Ray Data team. Ray Data https://docs.ray.io/en/latest/data/data.html is the Python-native data processing engine for AI workloads on Ray. It handles multimodal and structured data and powers batch inference, data loading for distributed training, and large-scale preprocessing. The team owns the open source library end to end, including: - The streaming execution engine, including scheduling, backpressure, and resource management across CPUs and GPUs - Batch inference for LLMs and multimodal models, including integrations with inference engines such as vLLM - Data loading for production training workloads with Ray Train and popular ML frameworks - Connectors for data sources and formats such as Parquet, Iceberg, Delta Lake, Lance, and cloud object storage - Performance, stability, and fault tolerance at large scale This is a first-line engineering management role where you'll lead a team of engineers, stay involved in technical design and code, and own the team's roadmap within the open source project. Ray Data has a large and active community, so you'll also work closely with external contributors to review designs, guide technical direction, and support the project's continued growth and success. The team plays an important role in the broader Ray ecosystem and contributes directly to Anyscale's success. WHAT YOU'LL DO - Set the technical direction and roadmap for open source Ray Data, balancing community needs, customer needs, and Anyscale's product goals - Drive execution of the team's key projects, from design review through release - Hire, coach, and grow a world-class team of distributed systems and data infrastructure engineers - Run the team day to day: planning, prioritization, project tracking, on-call, and release quality - Stay technically hands-on through design and code review, performance investigations, and escalations on critical production issues - Represent Ray Data in the open source community: work with external contributors and maintainers, review Ray Enhancement Proposals, keep GitHub issue and PR triage...
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