4 days ago
Munich, GermanyEntry Level / Mid Level
Responsibilities
- Research and evaluate machine learning models for robot perception and task understanding.
- Apply computer vision and deep learning to camera, force and torque, and depth-sensor data.
- Experiment with reinforcement learning and imitation learning for robot control.
- Integrate AI models into a ROS 2 robotics stack.
- Run experiments and iterate on approaches using physical robotic systems.
- Connect research results to real-world industrial deployment.
Requirements
- Approximately 0 to 3 years of relevant experience, including research, internships, or practical projects.
- BSc or MSc in robotics, computer science, AI/ML, or a related field, or equivalent practical experience.
- Proficiency in Python and experience with PyTorch or TensorFlow.
- Computer vision or robot-learning experience involving physical robotic systems.
- Fluent English; German is a plus.
- Familiarity with ROS or ROS 2, Isaac Sim, PyBullet, or MuJoCo, and sim-to-real transfer is beneficial.
- Experience with 3D perception, point clouds, or depth estimation is beneficial, as are robotics or machine learning publications and open-source contributions.
Benefits
- Equity participation is available.
- Visa sponsorship is not available.
- On-site five days per week in Munich, Bavaria, Germany.
- Candidates must be eligible to work in Germany.
Categories
ML EngineeringRobotics