Robot Learning Engineer
Core
Research and integrate machine learning models for robot perception, task understanding, and control in industrial manufacturing work cells.
Role type
Research IC robot learning engineer (industrial robotics)
Builds
AI models for perception and control integrated into ROS 2 robotics stacks for factory deployment
Domain
Industrial robotics + computer vision + deep learning
Deliverable
production ML models
Required skills
Python, PyTorch or TensorFlow, computer vision, robot learning, reinforcement learning, imitation learning, ROS 2, sim-to-real transfer, physics simulators (Isaac Sim, PyBullet, MuJoCo), 3D perception, point clouds, depth estimation
Preferred skills
Research publications, open-source contributions, German language
Technologies
ROS 2, Isaac Sim, PyBullet, MuJoCo, PyTorch, TensorFlow
Responsibilities
Research and evaluate ML models for robot perception and task understanding; Apply computer vision and deep learning to sensor data; Experiment with RL and imitation learning for robot control; Integrate AI models into ROS 2 stack; Run experiments and analyze results; Connect research to real-world factory deployment
Seniority
Junior to Mid-level, hands-on IC
