# Applied Researcher at Physical Intelligence

Applied Researcher at Physical Intelligence in San Francisco. On-site, full-time. Posted January 23, 2026.

- Company: Physical Intelligence
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Posted: 2026-01-23
- Apply: https://jobs.ashbyhq.com/physicalintelligence/1a7a181f-c318-4e0b-9516-c7111b3e3968/application
- Source: https://jobmagic.ai/jobs/applied-researcher-physical-intelligence-x0kean

## Description

**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**
- 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
**Bonus Points If You 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

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