Job Overview
Location
Munich
Job Type
Full-time
Category
Engineering
Date Posted
August 18, 2026
Full Job Description
📋 Description
- • This is an entry-level research engineering role at a small, ambitious robotics startup in Munich.
- • 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.
- • The company builds fully flexible, intelligent robotic work cells designed to automate the hardest manual industrial tasks: surface finishing, welding, and coating.
- • You'll be working at the frontier of applied robot learning, bridging cutting-edge research and real-world deployment.
- • Research and evaluate ML models for robot perception and task understanding.
- • Apply computer vision and deep learning to multimodal sensor data (cameras, force/torque sensors, depth sensors).
- • Experiment with reinforcement learning and imitation learning for robot control.
- • Integrate trained AI models into a ROS 2-based robotics stack.
- • Design and run rigorous experiments, iterate quickly, and document findings.
- • Bridge the gap between research prototypes and real-world factory deployment.
🎯 Requirements
- • BSc or MSc in Robotics, Computer Science, AI, or a closely related field.
- • Strong Python skills and hands-on experience with PyTorch or TensorFlow.
- • Practical exposure to computer vision and/or robot learning (thesis, internship, open-source, or research project).
- • Genuine interest in physical systems and real-world robotics — not purely software or NLP.
- • Already eligible to work in Germany (visa sponsorship is not available).
- • Able to work on-site in Munich full-time.
🏖️ Benefits
- • Equity participation offered.
- • Cash salary details to be discussed directly during the interview process.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Clera
Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.
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