4 days 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 transition robotics research into deployment on industrial hardware.
Requirements
- Approximately 0 to 3 years of experience.
- 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 a deep learning framework such as PyTorch or TensorFlow.
- Exposure to computer vision or robot learning.
- Familiarity with ROS or ROS 2.
- Helpful experience with simulation or sim-to-real transfer using tools such as Isaac Sim, PyBullet, or MuJoCo.
- Helpful familiarity with 3D perception, point clouds, or depth estimation.
- Research publications or open-source contributions in robotics or machine learning are valued.
- Fluent English is required; German is a plus.
- Must be eligible to work in Germany.
Benefits
- Equity participation is available.
- On-site in Munich, Germany, five days per week.
- Visa sponsorship is not available.
Categories
ML EngineeringRobotics