Robot Learning Engineer - Manipulation

The role

You will work on manipulation policies from task definition to running reliably on physical robots. This includes training and fine-tuning policies, developing repeatable recipes for industrial tasks, and deploying policies on edge compute.

What you will do

• Work on the full learning loop for manipulation tasks
• Train and fine-tune manipulation policies
• Develop repeatable recipes for industrial tasks
• Deploy policies on edge compute and validate observation processing, action interfaces, and control timing
• Turn failures and human interventions into better data, models, and evaluation
• Measure success rates, cycle time, and intervention rates
• Package recipes and models for future tasks and robots

Required 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
• 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

Nice to have

• Experience with bimanual manipulation, force-controlled insertion, tactile sensing, or dexterous hands
• Experience with ROS 2, LeRobot, or simulators such as Isaac and MuJoCo
• Experience optimizing inference on NVIDIA Jetson or GPU edge systems, including model export, compilation, or quantization
• Experience with reinforcement learning post-training, learning from interventions, or transferring policies across robot platforms

Benefits

• Base salary
• Equity in the form of options and/or restricted stock units
• Comprehensive health, dental, vision, life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.