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Clera

Entry-Level Robot Learning Engineer

Munich
Level
Junior
Work type
On-site · Munich
Visa
Not offered

Not stated in the posting: salary.

Open. First seen 10 October 2026.

Apply on the company's site →

What this role asks for

Standard for software engineering roles

Python

Common in software engineering postings at any company.

Read against Clera's other open postings on this site.

The team: Engineering HIRES STEADILY

This role is one of 292 open in Engineering. 226 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (135 of 292), TypeScript (131 of 292), Python (123 of 292), React (107 of 292), Machine Learning (70 of 292), PostgreSQL (58 of 292), JavaScript (55 of 292)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

About the Role

Join a robotics and machine learning team developing intelligent systems for demanding industrial tasks. You will apply current machine learning methods to real robotic hardware, helping bridge research and 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, iterate on results, and support deployment on real robotic systems.

What We're Looking For

  • Approximately 0 to 3 years of relevant experience, with a BSc or MSc in robotics, computer science, AI, machine learning, or a related field, or equivalent practical experience.
  • Proficiency in Python and experience with PyTorch or TensorFlow.
  • Exposure to computer vision or robot learning, with an interest in applying ML to physical systems.
  • Fluency in English; German is a plus.
  • Familiarity with ROS or ROS 2 is helpful.
  • Experience with simulation or sim-to-real transfer, such as Isaac Sim, PyBullet, or MuJoCo, and familiarity with 3D perception, point clouds, or depth estimation are beneficial.
  • Robotics or machine learning research publications or open-source contributions are also beneficial.

Compensation & Benefits

Equity participation is available. Visa sponsorship is not available, so candidates must be eligible to work in Germany.

Location

This is an on-site, full-time role in Munich, Bavaria, Germany, five days per week.

Other openings for this role

3 open postings for this role in Munich, first posted 3 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

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