Applied Researcher
Physical Intelligence - San Francisco, California, United States
Posted Jan 23, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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Where they hire
State eligibility is not yet verified.
About this role
Applied Researcher San Francisco, California, United States Who We Are 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. The Team The Deployments team is responsible for solving real world problems with our models and robots. We tackle the full problem space: integrating with customer workflows, training models to solve their dexterous tasks, and ensuring the on-site reliability of the system. This breadth of problem space is why we're a full-stack robotics team - whether it's thinking about customer facing experiences or fine-tuning models for tasks no robot has done before, we put forth the best solution Pi has to offer. In This Role You Will - 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 (software and hardware!) engineers. - Define and shape a vision for what real-world deployments will look like in the long-term What We Hope You'll Bring
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