Deep Learning Performance Engineer - Anyscale
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.
Anyscale is based in San Francisco, CA. Employees are required to come in office 3x a week.
About the role:
As a Deep Learning Performance Engineer, you will help build systems and optimizations that push the boundaries of performance across cutting edge ML models. This is an incredibly critical role to Anyscale as it allows us to provide market leading performance and price point for AI infrastructure.
Last updated: 10 hours ago
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