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Anyscale is seeking an experienced Platform Engineering Leader to guide Infrastructure, SRE and Enterprise Governance Engineering teams in San Francisco and to drive the technical direction for scalable distributed AI tooling and cloud integrations.
You will oversee cluster launcher, cloud providers, Kubernetes support, cluster autoscaling, control plane, data plane, reliability, billing stack and related components while working closely with customers and field engineers to ensure success.
About Anyscale:
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. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.
With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.
About the role:
Anyscale is looking for an experienced Engineering leader to lead our Infrastructure, SRE and Enterprise Governance Engineering teams.
Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud using Ray - the popular open source platform used by companies like Netflix, Uber, Instacart and others - seamless.
We'd love to hear from you if you have:
Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.
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