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# Robot Learning Engineer

- **Company:** CLERA, LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Computer Vision, Python (Programming Language), Machine Learning, Tensorflow, Reinforcement Learning, Pytorch, Deep Learning, Information Technology, Free and Open-Source Software
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f6ca5ad98a5f52de

## About the Role

* Bachelor's or Master's degree in Robotics, Computer Science, AI, or a closely related field
 * 0-3 years of hands-on experience in robotics, computer vision, or AI research
 * Proficiency in Python and at least one deep learning framework (PyTorch or TensorFlow)
 * Experience with ROS 2
 * Experience with computer vision and sensor data processing for robotics applications
 * Practical knowledge of reinforcement learning and/or imitation learning for robot control
 * Ability to collaborate across research and real-world deployment in a robotics context
 * Legal right to work in Germany - visa sponsorship is not available
 * Based in Munich or willing to relocate (role is fully on-site)

Nice to Have:

 * Experience with sim-to-real tools such as Isaac Sim, MuJoCo, or PyBullet
 * Strong fundamentals demonstrated through research publications, a thesis, internships, or open-source contributions in robotics or AI
 * Familiarity with 3D perception, point clouds, or depth estimation

## Description

An early-stage industrial robotics startup in Munich is looking for a Robot Learning Engineer to join a small, ambitious team working at the frontier of intelligent automation. This is an entry-level / new-grad research role where you'll apply state-of-the-art machine learning - perception, reinforcement learning, imitation learning, and sim-to-real transfer - directly to a real industrial robotic work cell handling some of the hardest manual tasks in manufacturing: surface finishing, welding, and coating. You'll have the rare opportunity to see your ML work run on physical factory hardware from day one., * Research and evaluate ML models for robot perception and task understanding

 * Apply computer vision and deep learning to multi-modal sensor data (cameras, force/torque sensors, depth)
 * Experiment with reinforcement learning and imitation learning for robot control
 * Integrate AI models into the ROS 2 robotics stack
 * Run rigorous experiments and iterate rapidly on results
 * Bridge the gap between research prototypes and real-world factory deployment


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