The opportunity
At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning.
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 healthy, and grow the contributor base
What they're looking for
- Partner with the Ray Core, Ray Train, Ray Serve, and Anyscale platform teams: on cross-library features and end-to-end performance
- Work with product management, field engineering, and customers, including: AI-native companies running Ray Data at large scale, to understand their workloads and turn them into roadmap priorities
- Build and maintain a team culture of collaboration, ownership, and high engineering standards
- Communicate the team's work to a broader audience through talks, tutorials, blog posts, and at Ray Summit
