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Robot Learning Engineer

CleraMunich, Bavaria

EngineeringFull time3+ yrs
Source-verified: read directly from this employer's own ashby job board, not a repost.On-sitePosted (today)Last verified (today)

At a glance

Location
Munich, Bavaria
Workplace
On-site
Pay
Not published by the employer
Employment type
Full time
Experience
3+ years
Education
Master (or equivalent)
Job family
Engineering
Seniority
Not stated
Posted by employer
24 October 2026
Last verified open
25 October 2026
Region and country
Bavaria, DE
Team
Engineering
Listed via
Ashby

What the employer wrote

ABOUT THE ROLE

Join an industrial robotics team applying machine learning to real-world manufacturing tasks. This entry-level role combines research and hands-on experimentation to bring robot perception and learning methods into physical robotic systems.

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 experiments, analyze results, and iterate on approaches.

- Help bridge research prototypes and deployment in industrial environments.

WHAT WE'RE LOOKING FOR

- 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 also welcome.

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.

Where this record came from

Read from Clera's own Ashby job board on , and last confirmed still open on . The employer published it on 24 October 2026. Jobsearch.ing did not write, edit or rank this posting, and does not vet the employer. View the original posting.

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