Applied Researcher

The role

The Applied Researcher will deploy and debug learned policies on physical robots. You will train and tune policies, curate data, and write production-quality code to interface with infrastructure.

What you will do

• Deploy and debug learned policies on physical robots
• Diagnose failures across the full stack
• Train and tune policies, curate data, and iterate to improve real-world performance
• Write production-quality code that interfaces with Pi’s infrastructure
• Work with operators to set up tests, evals, and data collection pipelines
• Engage with partners to understand use cases and observe robots in deployment contexts
• Translate research advances into deployable systems
• Surface real-world failure modes back to researchers and engineers
• Define and shape a vision for what real-world deployments will look like in the long-term

Required qualifications

• Hands-on experience deploying robots or autonomous systems in real-world environments
• Strong engineering skills: clean Python, ability to interface with infrastructure, debugging instincts
• Ability to debug the full stack from perception to control
• Practical mindset: motivated by making things work, not by open-ended research
• Clear communication with researchers, operators, and occasionally partners

Nice to have

• Founded or worked at an early-stage robotics or AV company
• PhD in relevant field
• Intuition for policy training, neural network debugging, and data curation
• Experience with robot manipulation platforms

Before you apply

• Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records

About the company

Physical Intelligence is bringing general-purpose AI into the physical world. The company is a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms.