Software Engineer (Machine Learning)

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.

We're looking for passionate, motivated people who are excited to build infrastructure and tooling for next generation machine learning applications. We're hiring exceptional Software Engineers for the distributed training team at Anyscale, which is responsible for building and maintaining open source machine learning libraries widely adopted across the industry. 

We are particularly looking for Senior or staff and above candidates who can help cast and execute on a vision for the future of machine learning training infrastructure. We are open to both Individual Contributors and people who are primarily technical but have prior experience managing a small team. 

The team's mission is to make it really easy to do distributed machine learning on Ray and Anyscale. Specifically, our team maintains and develops features for a broad number of libraries — including Ray Train (distributed deep learning), Ray Tune (distributed hyperparameter tuning), and XGBoost-on-Ray.

Our team is the most user-facing engineering team on the open source side, collaborating with ML engineering teams at organizations like Shopify, Uber, and Bytedance.

This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:

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.