What are the responsibilities and job description for the Research Engineer, LLM position at Anyscale?
Research Engineer, LLM
San Francisco or Palo Alto, CAEngineering – Artificial Intelligence / Full-time / Hybrid About Anyscale : At , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like , , , , , 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 with $250 million raised to date. About the role The Anyscale Research team is looking for a strong ML Engineer and Researcher who is passionate about pushing the boundaries of what’s possible with Ray. In this role, you will 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 will play a key role in exploring new directions and driving our vision for Ray’s future.This position is ideal for individuals with a strong engineering background and a passion for ML systems. You will spend approximately 70% of your time coding and engineering, while the remainder will focus on research to support our strategic vision and innovation. The role demands a deep understanding of ML systems and applications, including LLMs and multimodal models, with a strong emphasis on technical skills and engineering expertise. About the team We are a newly formed team dedicated to applied research in both ML modeling and systems. Our mission is to advance the capabilities of Ray and advance machine learning workloads on the Anyscale Platform. We operate at the intersection of research and engineering, collaborating closely with the Ray Core and Ray Train teams to bridge gaps and develop innovative solutions that push the frontier of ML and systems research.
We'd love to hear from you if have
- Production level experience in Machine Learning, and in distributed ML Systems (Python / Pytorch)
- 4 years experience in one of those fields : Machine Learning, NLP, or CV, or ML Systems
- Graduate degree (MSc or PhD) in one of the fields above
- Published in a top-tier AI conference (Neurips, ICML, ICLR, CVPR, ACL, etc)
A snapshot of projects you may work on
Compensation
This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including, Stock Options
Salary : $170,112 - $237,000
