Anyscale
Research Engineer, LLM
🌎
San Francisco, CA
3 months ago
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Job Description
About Anyscale:
At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, 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.
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.
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