2 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/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.
- Connect research developments with real-world factory deployment.
Requirements
- Approximately 0 to 3 years of relevant experience, including practical work through research, a thesis, an internship, or open-source contributions.
- 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 in computer vision or robot learning involving physical robotic systems.
- Fluent English; German is a plus.
- Familiarity with ROS or ROS 2 is helpful.
- Experience with sim-to-real transfer or physics simulators such as Isaac Sim, PyBullet, or MuJoCo is a plus.
- Familiarity with 3D perception, point clouds, or depth estimation is beneficial.
- Research publications or open-source work in robotics or machine learning are valued.
Benefits
- Equity participation is available.
- Visa sponsorship is not available.
- On-site in Munich, Bavaria, Germany, five days per week.
Categories
ML EngineeringRobotics