3 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, depth, and force or torque 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 models and system performance.
- Help bridge research prototypes and deployment on real factory hardware.
Requirements
- Approximately 0 to 3 years of relevant experience in robot learning, robotics, computer vision, or machine learning for physical systems.
- Bachelor’s or master’s degree in robotics, computer science, AI, machine learning, 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 and familiarity with ROS or ROS 2.
- Fluent English; German is a plus.
- Familiarity with simulation tools, sim-to-real transfer, 3D perception, point clouds, or depth estimation is helpful.
- Research publications or open-source contributions are valued.
Benefits
- Equity participation is available.
- 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