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Software Engineer (Ray Data)

AnyscaleSan Francisco
On-site Full Time

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Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience in software engineering with a focus on distributed systems. Strong proficiency in Python and familiarity with data processing frameworks. Experience with machine learning libraries and frameworks is a plus. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

About the job

About Anyscale:

At Anyscale, we are committed to revolutionizing distributed computing by making it accessible to developers across all skill levels. We proudly commercialize Ray, an innovative open-source project that fosters a rich ecosystem of libraries for scalable machine learning. Our platform is trusted by leading companies including OpenAI, Uber, Spotify, Instacart, Cruise, and many others, as they enhance their AI applications in real-world scenarios.

With Anyscale, we are crafting the optimal environment for running Ray, empowering developers and data scientists to seamlessly scale their machine learning applications from their local machines to large clusters without requiring deep expertise in distributed systems.

We take pride in being backed by renowned investors such as Andreessen Horowitz, NEA, and Addition, having raised over $250 million to date.

About the Ray Data Team:

Ray Data serves as a robust Python-native data processing engine, designed to meet all AI data processing requirements. It offers exceptional integration with leading AI frameworks, capable of handling both multi-modal and structured data efficiently.

About Anyscale

Anyscale is at the forefront of democratizing distributed computing, empowering developers to leverage cutting-edge technology for scalable machine learning applications. Our flagship product, Ray, is transforming industries by streamlining complex data processing tasks for organizations worldwide. Join us in our mission to make distributed computing accessible for everyone.

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