Applied Researcher at Physical Intelligence | CA, US | Rezi

Applied Researcher at Physical Intelligence

Applied Researcher

Physical Intelligence · CA, US

1 months ago

Applied Researcher

Physical Intelligence · CA, US

2 months ago
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About the Role

The Deployments team is responsible for solving real-world problems with our models and robots, tackling the full problem space from integrating with customer workflows to training models and ensuring on-site reliability. This is a full-stack robotics role.

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.
  • Bridge research and operations: translate research advances into deployable systems, and surface 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: 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 partners.

Skills

  • Python
  • Debugging
  • Robotics
  • Autonomous Systems
  • Perception
  • Policy Training
  • Neural Network Debugging
  • Data Curation
  • Robot Manipulation

Education Level

  • PhD in relevant field

About the Company

  • Physical Intelligence is bringing general-purpose AI into the physical world.
  • We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.

Equal Opportunity

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