# Robot Learning Engineer at Clera

Robot Learning Engineer at Clera in Munich. On-site, full-time. Posted November 1, 2026.

- Company: Clera
- Location: Munich
- Workplace: On-site
- Job type: Full-time
- Posted: 2026-11-01
- Apply: https://jobs.ashbyhq.com/clera/7136cb0e-f380-43cf-bfb7-cef1a3e2151a/application
- Source: https://jobmagic.ai/jobs/robot-learning-engineer-clera-g6rkqf

## Requirements

- 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.

## Description

### 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.