Applied Researcher
Physical IntelligenceRobotics company
San Francisco, United StatesMid
CapitalG
Lux Capital
Thrive Capital
Index Ventures
T. Rowe Price
Jeff Bezos
Data & AI
About the role
TL;DR
Deploy and debug learned policies on physical robots.
- •Deploy and debug learned policies on physical robots, diagnosing failures across the full stack (perception, policy, control, hardware).
- •Key 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 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.
- •Requirements 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
Required skills
PythonTensorFlowscikit-learnKubernetesCI/CDDocker
Nice-to-have skills
Anthropic APIHugging FaceComputer VisionNLPLLMsMLflowKubeflowSageMakerVertex AIONNX
Tech stack
PythonTensorFlowscikit-learnKubernetesCI/CDDocker