ML Systems & Performance Engineer

Onsite San Francisco

pytorch member of technical stafffulltime

ashby

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Job description

Join a team focused on building a personalization and continual learning API for AI models. You'll design and optimize systems to enhance performance and efficiency in a collaborative environment.

Details

San Francisco, in-person
5+ years of experience
Skills: PyTorch, distributed systems, ML frameworks

The work

Design and execute frameworks to improve performance and efficiency
Optimize serving paths for personalization and memory retrieval
Work on distributed training and scaling efficiency across GPUs
Collaborate with researchers to turn prototypes into scalable systems