Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

Anyscale is actively seeking talented engineers to join our team and contribute to the development of next-generation, high-performance machine learning serving systems. We value diversity and inclusion, and we encourage individuals from underrepresented groups to apply.

Many existing ML serving tools are inherited from previous infrastructure generations, but emerging ML applications present new requirements, such as high compute demands, specialized hardware needs, and the integration of multiple models and business logic within a single request. At Anyscale, our mission is to provide a powerful yet simple set of tools that enable the seamless deployment of complex ML applications in production.

About the Serving Infrastructure team:

The Serving Infrastructure team is dedicated to creating world-class systems for serving ML models in production. This includes building and maintaining the open-source Ray Serve library and contributing directly to the Anyscale platform used by our customers for critical applications. Our work is often user-facing, allowing you to collaborate with open-source users and customers ranging from lean ML engineering teams at small startups to industry-leading companies such as Uber, Shopify, and ByteDance.