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
Iterate very quickly with product teams to ship the end to end solutions for: Batch and Online inference at high scale which will be used by open-source Ray users and customers of Anyscale
Work across the stack integrating Ray Data and LLM engine providing: optimizations achieving low cost solutions for large scale ML inference
Integrate with Open source software like vLLM, work closely with the: community to adopt these techniques in Anyscale solutions, and also contribute improvements to open source
Follow the latest state-of-the-art in the open source and the research: community, implementing and extending best practices
Familiarity with running ML inference at large scale with high throughput and low latency
Familiarity with deep learning and deep learning frameworks (e.g. PyTorch)
What they're looking for
- Solid understanding of distributed systems, ML inference challenges
- ML Systems knowledge
- Experience using Ray
- Work closely with community on LLM engines like vLLM, TensorRT-LLM
