Top Deep Learning Jobs in San Francisco Bay Area, CA

Build, scale, and harden deep learning training infrastructure for multi-thousand GPU clusters. Improve data loaders, distributed training, scheduling, and performance monitoring. Develop fault-resilient orchestration, training pipelines for massive video datasets, and collaborate with researchers and platform teams to maximize training efficiency, availability, and scalability.

Lead design and training of large-scale transformer and hybrid foundation models across text and multimodal domains. Own architecture choices, diagnose large-scale training instabilities, optimize scaling tradeoffs (data, compute, model), design loss and alignment strategies, and execute distributed training (FSDP/ZeRO, tensor/pipeline parallelism) with mixed precision to build in-house foundation model expertise.