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Software Engineer - Infrastructure Team at Anyscale | San Francisco, CA

AnyscaleSan Francisco or Palo Alto, CA
On-site Full-time

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Experience Level

Experience

Qualifications

Qualifications:Strong programming skills in languages such as Python, Java, or Go. Understanding of distributed systems and cloud computing. Experience with containerization and orchestration technologies like Docker and Kubernetes. Ability to collaborate effectively in a team-oriented environment. Desire to learn and grow in the field of distributed computing.

About the job

About Anyscale:

At Anyscale, we are on a mission to democratize distributed computing, making it accessible for software developers across all skill levels. We are actively commercializing Ray, a prominent open-source project that's fostering an ecosystem of libraries designed for scalable machine learning. Leading companies such as OpenAI, Uber, Spotify, Instacart, Cruise, among others, have integrated Ray into their tech stacks to expedite the deployment of AI applications in real-world scenarios.

At Anyscale, we are committed to creating the optimal environment for running Ray, enabling developers and data scientists to effortlessly scale machine learning applications from their laptops to large clusters without requiring expertise in distributed systems.

We are proud to be backed by Andreessen Horowitz, NEA, and Addition, with over $250 million raised to date.

About the Role

Anyscale is seeking a talented Software Engineer to join our Infrastructure team. Our goal is to deliver next-generation tools and infrastructure that simplify the development and execution of distributed AI applications in the cloud, making it as straightforward as local development. As a member of the Infra team, you will contribute to the creation of a scalable, secure, and resilient backbone that supports this vision.

About Anyscale

Anyscale is at the forefront of democratizing distributed computing, offering innovative solutions that empower developers and data scientists. Our commitment to simplifying the complexity of machine learning applications sets us apart in the tech industry.

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