Research Scientist
Physical Intelligence
Summary
We are looking for researchers with a record of excellent research results in the fields of machine learning and robotics, at all levels.
Job description
Successful candidates will have both excellent fundamentals and excellent implementation skills, with a record of both system-building and fundamental conceptual, algorithmic, or theoretical advances.
We welcome applications from both academic researchers and researchers with unconventional backgrounds.
Requirements
- Record of excellent research results in machine learning and robotics
- Excellent fundamentals
- Excellent implementation skills
- Record of system-building
- Record of fundamental conceptual, algorithmic, or theoretical advances
Company overview
Physical Intelligence is a pioneering company at the intersection of artificial intelligence and robotics, founded in 2024 with headquarters in San Francisco, California. The company specializes in developing general-purpose AI foundation models and learning algorithms designed to power robots and physically-actuated devices across multiple industries. Their core technology focuses on creating universal robotic intelligence through advanced Vision-Language-Action (VLA) systems that enable robots to understand visual inputs, process natural language commands, and execute appropriate physical actions in real-world environments. The company's flagship π-zero (pi-zero) model represents a significant advancement in cross-embodiment learning, allowing their AI systems to generalize across different robotic platforms and applications without requiring complete retraining. With substantial backing from top-tier investors including Jeff Bezos, Thrive Capital, OpenAI, and Sequoia Capital, Physical Intelligence has rapidly emerged as a leader in the physical AI space, achieving a $2.4 billion valuation. The company employs 51-200 professionals including engineers, scientists, roboticists, and company builders who are working to bring general-purpose AI into the physical world, fundamentally transforming how robots interact with and manipulate their environments.