Robot Learning Engineer

CLERA, LLC

San Francisco, CA, United States

7 days ago

Role details

Contract type

Internship / Graduate position

Employment type

Full-time (> 32 hours)

Experience level

Starter

Experience required

0 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Artificial Intelligence Computer Vision Python (Programming Language) Machine Learning Tensorflow Reinforcement Learning Pytorch Deep Learning Information Technology Free and Open-Source Software

Job 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

Requirements

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