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
Develop high quality open source software to simplify distributed programming (Ray)
Identify, implement, and evaluate architectural improvements to Ray core
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 2 year of relevant work experience
Solid background in algorithms, data structures, system design
What they're looking for
- Experience in building scalable and fault-tolerant distributed systems
- Knowledge of distributed model training and inference (e.g. tensor parallel, pipeline parallel) is preferred
- Knowledge of GPU programming is preferred
