Physical Intelligence

Research Scientist role focusing on machine learning and robotics, requiring a strong record of research results, system-building, and fundamental advances. Open to candidates at all levels with excellent fundamentals and implementation skills.

Physical Intelligence is seeking a Robotics Research Engineer to develop foundation models and learning algorithms for robots. This role involves working across hardware, software, and large-scale model training, from data collection to policy development and deployment. The engineer will create new data collection methods, develop vision-language-action models, curate datasets, and run experiments to improve policy performance.

This role involves teleoperating robotic arms to collect high-quality demonstration data for training foundation models for physical world AI. The operator will perform various tasks, maintain data quality, and meet collection metrics. It's a hands-on, metrics-driven position focused on generating training data for AI-powered robots.

ML Infra Engineer focused on scaling and optimizing training systems and core model code, managing GPU/TPU compute, job orchestration, and building efficient JAX training pipelines. Collaborates with researchers to translate ideas into production training runs.

ML Infra Engineer to scale and optimize training systems and core model code, managing GPU/TPU compute, job orchestration, and JAX training pipelines. Collaborates with researchers to translate ideas into production training runs.