17 hours ago
Munich, GermanyEntry 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, analyze results, and iterate on approaches.
- Help bridge research prototypes and deployment in industrial environments.
Requirements
- Approximately 0 to 3 years of relevant experience, including research, internships, or practical projects.
- A bachelor's or master's degree in robotics, computer science, AI/ML, or a related field, or equivalent practical experience.
- Proficiency in Python and experience with PyTorch or TensorFlow.
- Experience with computer vision or robot learning involving physical robotic systems.
- Fluent English; German is a plus.
- Familiarity with ROS or ROS 2, physics simulation tools such as Isaac Sim, PyBullet, or MuJoCo, and sim-to-real transfer is beneficial.
- Exposure to 3D perception, point clouds, or depth estimation is beneficial.
- Research publications or open-source contributions in robotics or machine learning are welcome.
Benefits
- Equity participation is available.
- The role is on-site five days per week in Munich, Bavaria, Germany.
- Visa sponsorship is not available; candidates must be eligible to work in Germany.
Categories
ML EngineeringRobotics