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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 17 October 2026.

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 an industrial robotics team applying machine learning to challenging manufacturing tasks. You will develop and evaluate robot learning approaches, then help bring them from research into real-world 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 experiments, analyze results, and iterate on approaches.
  • Help bridge robotics research with deployment on industrial hardware.

What We're Looking For

  • Approximately 0 to 3 years of experience, with 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 a deep learning framework such as PyTorch or TensorFlow.
  • Exposure to computer vision or robot learning.
  • Familiarity with ROS or ROS 2 is helpful.
  • Experience with simulation or sim-to-real transfer, such as Isaac Sim, PyBullet, or MuJoCo, is helpful.
  • Familiarity with 3D perception, point clouds, or depth estimation is helpful. Research publications or open-source contributions in robotics or machine learning are also valued.
  • Fluent English is required; German is a plus.
  • Must be eligible to work in Germany and able to work on-site in Munich five days per week.

Compensation & Benefits

Equity participation is available. Visa sponsorship is not available.

Location

On-site 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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