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

Research and build efficient ML systems for large-scale LLMs and agentic RL: design algorithms and system techniques, prototype in training/inference stacks, run large-scale experiments, and translate findings into production or publications.

Design, build, and operate end-to-end training and inference infrastructure for large language and multimodal models. Improve efficiency (memory, parallelism, kernel optimizations), ensure robust scalable training and RL pipelines, optimize low-latency/high-throughput serving (quantization, caching, speculative decoding), manage multi-GPU and multi-cloud orchestration, and productionize new algorithms with strong observability and reproducibility.

As an ML Engineer, you will ensure high-quality data uploads by building systems for detecting fraud in images and videos, along with automating various detection processes at scale.

The Senior Software Engineer will develop and optimize software for robotics systems, focusing on connectivity, observability, fleet management, and cloud infrastructure to ensure reliability and performance in real-world conditions.

As a Senior Robotics Software Engineer, you'll develop and maintain robotics software, interface with hardware, and implement motion planning for production-level robotic systems.