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Robot Learning Engineer - Manipulation

Applied Intuition· Robotics
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Sunnyvale$150k - $300kFull-timePosted 4w ago

About the role

Robot Learning Engineer focused on manipulation policies for a physical AI platform, from task definition to deployment on real robots, with emphasis on real-world performance and reliability.

Responsibilities

  • Work on the full learning loop for manipulation tasks: task definition, demonstration collection, data curation, training, real-robot evaluation, and deployment.
  • Train and fine-tune manipulation policies, from large pretrained models such as vision-language-action models to compact task-specific policies, and choose the right approach for each task.
  • Develop repeatable recipes for industrial tasks such as pick-and-place, bimanual handling, and contact-rich assembly, adding force or tactile signals where they help.
  • Deploy policies on edge compute and validate observation processing, action interfaces, and control timing on the robot.
  • Turn failures and human interventions into better data, better models, and better evaluation.
  • Measure what customers care about, including success rate, cycle time, intervention rate, and the data and time needed to reach a target, and improve those numbers task after task.
  • Package recipes and models so the next task, and the next robot, starts from what was learned on the last one.

Qualifications

  • 1+ years of professional experience
  • A Bachelor's degree in Computer Science, Software Engineering, or equivalent
  • Trained or fine-tuned a learned manipulation policy and deployed and evaluated it on a physical robot.
  • Strong Python and PyTorch skills, with the ability to write maintainable training, evaluation, and deployment code.
  • Practical depth in imitation learning and at least one modern policy family, such as vision-language-action models, diffusion policies, or action-chunking transformers.
  • Working knowledge of robot kinematics, coordinate frames, camera calibration, and the interface between learned actions and low-level control.
  • The habit of diagnosing failures with controlled experiments across data, sensing, model, and execution.
  • Comfort taking on open-ended problems and communicating tradeoffs clearly to teammates at the robot.

Skills

Required:PythonPyTorchImitation learningRobot manipulationRobotics fundamentals

Benefits

  • Base salary with compensation range $150K – $300K per year
  • Equity opportunities
  • Comprehensive health, dental, vision, life and disability insurance coverage
  • 401k retirement benefits with employer match
  • Learning and wellness stipends
  • Paid time off
Last updated Oct 4, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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