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

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.

The role involves researching and developing new pre-training methodologies for AI, requiring a blend of theoretical exploration and practical engineering. Responsibilities include designing experiments, collaborating on large-scale research, and publishing findings.

The Post-Training Researcher develops post-training recipes, iterates evaluations, debug training configurations, and publishes research to advance AI knowledge.

The role requires designing data collection strategies, developing pipelines for labeling and data generation, and researching human preferences to guide model behavior. Responsibilities include evaluating data quality and scalability, as well as publishing research to advance the AI community.