Jobs at Anyscale

The Customer Engineer manages post-sale customer journeys, resolves issues, advises customers on Anyscale platform, and collaborates with engineering teams.

As a Software Engineer at Anyscale, you'll build AI serving infrastructure, focusing on distributed systems, and ensuring high performance and reliability for ML applications.

Partner with strategic customers to lead on-site proof-of-value engagements, deploy and drive enterprise adoption of Ray and the Anyscale platform, build demos and reference architectures, advise stakeholders, accelerate deals, and relay customer feedback to product and engineering.

The Software Engineer will develop and optimize infrastructure for distributed AI workloads, focusing on cloud-native deployments and systems orchestration while enhancing reliability, performance, and scalability.

The role focuses on optimizing ML inference at scale, collaborating with product teams, integrating Ray Data, and enhancing open-source contributions.

Design and implement scalable cloud infrastructure for distributed AI applications, focusing on control and data planes, optimizing performance and reliability of services, and integrating with existing tools.

Develop high-quality open-source software to simplify distributed programming while working on architectural improvements and enhancing testing processes for the Ray core.

Develop high-quality software for distributed programming, optimize Ray's Datasets library, and improve testing processes. Communicate work through tutorials and talks.

Design, build, and scale control- and data-plane infrastructure for distributed AI workloads. Improve reliability, performance, scheduling, and observability for Ray clusters across cloud and on-prem environments. Support accelerator integration, container image management, and provide on-call troubleshooting and cross-team collaboration.

Lead and scale technical programs for Anyscale's core product, coordinating engineering and product teams to plan requirements, identify risks, manage schedules, and deliver commercial ML/AI solutions on cloud and big-data platforms.

The role involves developing open source software for distributed programming, optimizing performance, improving testing processes, and communicating findings publicly.

Lead Ray Data, a scalable data processing library, by managing the product roadmap, encouraging open source adoption, and engaging with customers.