Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The role involves designing and optimizing distributed training systems for large models to enhance research efficiency and productivity in AI.

Develop and maintain full stack applications focusing on APIs, UX, system reliability, security, and collaboration across teams.

Design, build, and operate GPU supercomputing environments, automate large GPU clusters, and collaborate with researchers to optimize performance and resources.

The Software Engineer, Data Infrastructure will design scalable systems for data processing and orchestration, collaborating with teams to enhance data quality and accelerate research.

Design and build infrastructure for scalable reinforcement learning, optimize RL training pipelines, and collaborate with researchers on production-grade solutions.

As an Infrastructure Research Engineer, you'll design and implement systems for scaling Tinker, optimizing GPU utilization, and developing frameworks to improve performance while collaborating with researchers and developers.

The role involves designing and optimizing ML kernels for large-scale language model training, collaborating on algorithmic design, and enhancing compute efficiency.

As a Software Engineer, you'll develop and maintain systems for AI models, enhance infrastructure, and collaborate across teams on product development.

Develop architectures and datasets for multimodal AI, run large scale experiments, and publish research to advance understanding of visual perception and reasoning.

The role focuses on designing and implementing data curation techniques for AI pre-training datasets, ensuring quality, collaboration, and continuous improvement of data processing systems.