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

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 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.

Lead a team of engineers to design and scale reliable ML systems, ensure high execution standards, and collaborate with tech leads and product teams.

The HR Business Partner will coach managers, advise on organizational decisions, design compensation structures, and build evaluation processes to support employee growth and performance.

The Compensation Partner will design and implement compensation frameworks, advise on pay decisions, and develop equity compensation strategies to attract and retain talent.