Robot Learning Engineer
At a glance
Mid-level AI Research role at Clera. Munich · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Evaluate learning models for robot perception and understanding what a robot should do
- Use camera, force, torque and depth readings to develop vision and deep-learning methods
- Test reinforcement and imitation learning approaches for controlling robots
- Connect AI models to ROS 2, then run experiments on physical robots and refine the results
- Turn research findings into approaches suited to factory use
What you bring
- Around zero to three years of relevant work, research, internship or project experience
- A relevant bachelor's or master's degree, or equivalent practical experience
- Strong Python skills and hands-on use of PyTorch or TensorFlow
- Computer vision or robot-learning work with physical robots, plus fluent English
Who this fits
This role suits an early-career engineer who wants to apply machine learning to physical robots. You’ll work on-site in Munich five days a week, and must be eligible to work in Germany. Visa sponsorship is unavailable.
From the employer
About the Role
Join a team building intelligent robotic systems for demanding industrial applications. In this entry-level role, you will apply machine learning to physical robots, helping translate research in perception and robot learning into practical factory deployment.
What You'll Do
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 rigorous experiments and iterate on approaches using physical robotic systems.
Connect research results to real-world industrial deployment.
What We're Looking For
Approximately 0 to 3 years of relevant experience, including research, internships, or practical projects.
A 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, physics simulation tools such as 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.
Compensation & Benefits
Equity participation is available. Visa sponsorship is not available.
Location
On-site, five days per week in Munich, Bavaria, Germany. Candidates must be eligible to work in Germany.
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