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
Optimizing performance of large-scale workloads on Ray
Stability and stress testing infrastructure
Improving fault tolerance (HA)
Leading cross-team projects while mentoring junior team members
Develop high quality open source software to simplify distributed programming (Ray)
Identify, implement, and evaluate architectural improvements to Ray core
What they're looking for
- Improve the testing process for Ray to make releases as smooth as possible
- Communicate your work to a broader audience through talks, tutorials, and blog posts
- At least 5 year of relevant work experience
- Experience in building scalable and fault-tolerant distributed systems
