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Research Scientist
2 months ago
Anyscale is a leading company in the field of distributed computing, aiming to democratize access to scalable machine learning. We're commercializing the popular open-source project Ray, creating an ecosystem of libraries for scalable machine learning. Our mission is to make distributed computing accessible to software developers of all skill levels.
About the RoleWe're seeking a strong ML Engineer and Researcher to join our Anyscale Research team. As a key member of our team, you'll be instrumental in developing cutting-edge features, such as our new Accelerated DAG (ADAG) API, to establish Ray as a leader in large-scale training. You'll play a key role in exploring new directions and driving our vision for Ray's future.
Responsibilities- Develop and enhance Ray for large-scale training, collaborating with the Ray Core and Ray Train teams.
- Design and implement the ADAG API to improve performance and scalability for complex ML workflows.
- Integrate Ray with other components, such as Ray Data, to streamline large-scale ML processes.
- Conduct research and innovation to push the boundaries of what Ray can achieve in large-scale training environments.
- Prototype and benchmark new features and enhancements.
- Production-level experience in Machine Learning and distributed ML Systems.
- 4+ years of experience in Machine Learning, NLP, or CV, or ML Systems.
- Graduate degree (MSc or PhD) in one of the above fields.
- Published in a top-tier AI conference.
- Market-based compensation, with a target salary range of $170,112 ~ $237,000.
- Equity and Benefits offerings, including Stock Options, Healthcare plans, 401k Retirement Plan, Wellness stipend, Education stipend, Paid Parental Leave, Flexible Time Off, Commute Reimbursement, and 100% of in-office meals covered.
