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Robotics Research Engineer at Physical Intelligence | San Francisco

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Key ResponsibilitiesDevelop robust autonomous robot policies for real-world applications. Engage in the complete stack of robot learning, encompassing hardware, data gathering, training, assessment, and deployment. Innovate new data collection techniques and pipelines to produce high-quality datasets for advanced robot models. Enhance vision-language-action models and learning algorithms for versatile manipulation and control tasks. Curate and organize extensive datasets, task distributions, and training strategies for robot pretraining and adaptation. Conduct swift and thorough experiments to identify performance bottlenecks and improve policy effectiveness. Collaborate with interdisciplinary teams of researchers and engineers across robotics, infrastructure, and ML systems. Contribute to defining the technical roadmap for general-purpose physical intelligence.

About the job

About Physical Intelligence

Physical Intelligence is building general-purpose AI for the physical world. The team brings together engineers, scientists, roboticists, and entrepreneurs focused on foundational models and learning algorithms for robots and interactive devices.

Role Overview

The Robotics Research Engineer works at the intersection of hardware, software, and large-scale model training. The goal: develop efficient autonomous robot policies that move the field forward.

What You Will Do

  • Design robotic systems and data collection pipelines to generate high-quality training data
  • Develop learning algorithms that turn collected data into reliable, effective robot policies
  • Contribute to vision-language-action models, from concept through implementation
  • Help shape datasets, research infrastructure, and the direction of robotics research at Physical Intelligence

Location

San Francisco

About Physical Intelligence

Physical Intelligence is at the forefront of merging AI with physical systems. Our diverse team is committed to advancing robotic technologies and creating systems that positively impact the future of automation and interaction.

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