Jobs at Anyscale

Lead and scale a Customer Engineering team supporting production AI workloads. Own operational health, customer escalations, and technical issue resolution. Partner with Product and Engineering to translate customer feedback into product improvements. Drive automation, diagnostics, documentation, and tooling to reduce recurring issues and improve customer outcomes.

Partner with customer platform and ML teams to design, deploy, and operate production AI/ML platforms on Kubernetes and public cloud. Lead implementations covering networking, security, observability, scaling, and automation; troubleshoot distributed systems; develop IaC, tooling, and reference architectures; and relay customer feedback to product and engineering.

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

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, 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.