Robot Learning Engineer for Industrial Autonomy

Applied Electrodynamics, Inc.; Sunnyvale (CA); Hybrid; USD 150,000 - 300,000; Full time

Benefits offered by this job

Equity

Job summary

Applied Intuition, Inc. in Sunnyvale, CA, is seeking a Robot Learning Engineer to advance manipulation policies on real robots, from task definition to deployment, with hands-on hardware experience.

You will train and fine-tune policies, diagnose failures, and collaborate with the robotics team to improve data, models, and evaluation, delivering reliable robot autonomy on customer lines.

Qualifications

• 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.
• Working knowledge of robot kinematics, coordinate frames, camera calibration, and the interface between learned actions and low-level control.
• 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.

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 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.
• 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.
• Package recipes and models so the next task starts from what was learned on the last one.

Skills

Manipulation policy deployment

Python & PyTorch

Imitation learning

Robot kinematics

Policy evaluation on real robot

Tools

ROS 2

LeRobot

Isaac

MuJoCo

Job description

Applied Intuition, Inc. in Sunnyvale, CA, is seeking a Robot Learning Engineer to advance manipulation policies on real robots, from task definition to deployment, with hands-on hardware experience.

You will train and fine-tune policies, diagnose failures, and collaborate with the robotics team to improve data, models, and evaluation, delivering reliable robot autonomy on customer lines.