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Anyscale

Production-scale AI platform powered by Ray for distributed training, batch inference, post-training, and multimodal data curation.

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12 roles

Engineering Manager, Platform Infrastructure

San Francisco / Hybrid / $270,000 - $320,000/year

Machine Learning Engineer, Customer Engineering

San Francisco / Hybrid / $140,242 - $199,867/year

Software Engineer

San Francisco / On-site / $226,000 - $240,689/year

Software Engineer, Infrastructure

San Francisco or Palo Alto, CA / On-site / $202,000 - $237,000/year

Head of Customer Engineering

San Francisco / On-site / $314,000 - $375,000/year

Forward Deployed Engineer

San Francisco / On-site / $266,970 - $287,043/year

Senior Site Reliability Engineer, Platform Infrastructure

San Francisco, Palo Alto / Hybrid

Software Engineer, Platform Infrastructure

Bengaluru / On-site

Staff Software Engineer, Platform Infrastructure

San Francisco or Palo Alto, CA / Hybrid

Distributed LLM Inference Engineer

San Francisco / Hybrid / $170,112 - $247,000/year

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About

Anyscale is the managed compute platform for Ray, the open source distributed framework the founders created at UC Berkeley's RISELab in 2016. Customers run distributed training, batch inference, post-training, and multimodal data curation across GPU clusters.

Used by Coinbase, Character.ai, Runway, Grab, and Recursion. Ray itself has 500M+ downloads and 41K+ GitHub stars.

Founded in 2019 by Robert Nishihara, Ion Stoica, and Philipp Moritz. Headquartered in San Francisco. Backed by a16z, NEA, Addition, and Intel Capital.

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