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Robot Learning Engineer

Gritt

South San Francisco, CAFull-timeNo compensation foundPosted 11mo agoVerified open 5 days ago
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At a glance

Compensation
No compensation found
Location
South San Francisco, CA
Schedule
Full-time
Work Authorization
US work authorization required

Requirements

Credentials this posting asks for.

Doctorate

Job overview

Gritt is hiring a Robot Learning Engineer. Gritt is seeking an experienced Robot Learning Engineer to join their team. This role involves building and shaping the AI capabilities of robots, focusing on manipulation and navigation in dynamic outdoor environments. The ideal candidate will thrive in a fast-paced startup, have a proven track record in deploying physical AI systems, and be passionate about advancing robotics with AI.

Key focus areas include Develop and deploy state-of-the-art physical AI models for manipulation and navigation problems, Help drive technical approach, focusing on real-world deployments, and Research and develop techniques around RL, imitation learning, video-action and world models.

Successful candidates bring M.S/Ph.D Degree In Robotics, Vision, Computer Science, Mechanical Engineering, Electrical Engineering Or Equivalent Experience, 4+ Years Hands‑On Experience Developing AI‑Driven Solutions For Robotics Applications, and Extensive Experience In Computer Vision, Machine Learning, Reinforcement Learning Or Other Relevant Areas Of AI. Important skills include Physical AI Models, RL, Imitation Learning, Video-Action, World Models, and Multimodal Data. Preferred (not required): Developing And Deploying Physical AI Systems In Production.

Skills & qualifications

RequiredNice to have

Skills

Physical AI ModelsRLImitation LearningVideo-ActionWorld ModelsMultimodal DataCamerasLIDARTactileComputer VisionMachine LearningReinforcement LearningVLAsDiffusionPythonPyTorchProblem-Solving SkillsDeveloping and Deploying Physical AI Systems in Production

Qualifications

M.S/Ph.D in Robotics, Vision, Computer Science, Mechanical Engineering, Electrical Engineering or Other Engineering Disciplines or Equivalent Experience4+ Years of Hands-on Experience Developing AI-Driven Solutions for Robotics Applications Like Manipulation and NavigationExtensive Experience in Computer Vision, Machine Learning, Reinforcement Learning or Other Relevant Areas of AILegally Authorized to Work in the United States

Full job description

Gritt https://www.gritt.ai is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team https://www.gritt.ai/team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.

Role: Robot Learning Engineer

Location: SF Bay Area (in-person)

About the role

We’re looking for an experienced Robot Learning Engineer to join our team. As an early member, you will play a pivotal role in building and shaping the AI capabilities of our robots. You will work on challenging problems around manipulation and navigation in dynamic outdoor environments. You'll need to thrive in a fast-paced startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying physical AI systems in production, and you're passionate about pushing the boundaries of what's possible in robotics with AI.

What you’ll get to work on

  • Develop and deploy state-of-the-art physical AI models for challenging manipulation and navigation problems.

  • Help drive our technical approach, with particular focus on real-world deployments.

  • Research and develop techniques around RL, imitation learning, video-action and world models to achieve robust generalization across tasks and environments.

  • Build approaches for pre/post training of large robotics models.

  • Work with multimodal data (e.g. cameras, LIDAR, tactile).

  • Develop and improve real/sim data pipelines, training and validation infrastructure.

  • Collaborate with other teams in the company.

What we look for

  • M.S/Ph.D degree in robotics, vision, computer science, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).

  • 4+ years of hands-on experience developing AI-driven solutions for robotics applications like manipulation and navigation.

  • Extensive experience in computer vision, machine learning, reinforcement learning or other relevant areas of AI (as evidenced by industry experience or publication record).

  • Experience with approaches like VLAs, deep RL, imitation learning, diffusion, world models.

  • Extensive experience with Python and common frameworks like PyTorch.

  • Should be comfortable taking ownership of tasks with light supervision.

  • Must have excellent problem-solving skills.

  • Legally authorized to work in the United States.

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