Applied Researcher
San Francisco • FullTime
Posted 7mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Research Engineer
About the job
Physical Intelligence is building general-purpose AI for the physical world, developing foundation models and learning algorithms for robots and future physically-actuated devices. The Deployments team focuses on solving real-world problems by integrating with customer workflows, training models for dexterous tasks, and ensuring system reliability. This full-stack robotics role involves everything from customer-facing experiences to fine-tuning models for novel tasks, aiming to deliver the best solutions.
Responsibilities
- Deploy and debug learned policies on physical robots, diagnosing failures across the full stack (perception, policy, control, hardware).
- Train and tune policies, curate data, and iterate to improve real-world performance.
- Write production-quality code that interfaces with the company's infrastructure.
- Work with operators to set up tests, evaluations, and data collection pipelines.
- Engage with partners to understand use cases and observe robots in deployment contexts.
- Translate research advances into deployable systems and communicate real-world failure modes back to researchers and engineers.
- Define and shape a long-term vision for real-world deployments.
Requirements
- Hands-on experience deploying robots or autonomous systems in real-world environments.
- Strong engineering skills including clean Python and ability to interface with infrastructure.
- Debugging instincts and ability to debug the full stack from perception to control.
- Practical mindset focused on making things work.
- Clear communication with researchers, operators, and partners.