Senior AI Engineer (m/f/d) Robot Learning

About the role

The AI team at Agile Robots is seeking a passionate and experienced Robot Learning Engineer to join our mission of advancing intelligent robotics. We’re looking for a candidate with 4+ years of hands-on experience applying Deep Learning techniques to robotic manipulators, with a strong focus on areas such as Imitation Learning, Behavior Cloning, and related methodologies.

Your Responsibilities

• Design and develop end-to-end robot learning systems with a strong focus on Imitation Learning and related techniques.
• Plan, execute, and evaluate robotics experiments, ensuring scientific rigor and reproducibility of results.
• Implement advanced robot control policies conditioned on vision, language, and multimodal inputs.
• Collaborate cross-functionally with AI, robotics, and hardware teams in a fast-paced environment to prototype, refine, and deploy real-world robotic applications.
• Monitor and integrate the latest advancements in robot learning, contributing to the team’s research direction and innovation.
• Work closely with the Robotics team to design, build, and optimize AI-driven robotic solutions.
• Participate in deployment activities, including on-site testing and support — travel may be required up to 30% of the time.

Essential Skills

• Master’s degree (or higher) in Computer Science, Robotics, Artificial Intelligence, or a related field.
• Minimum 4 years of professional experience in Artificial Intelligence, Deep Learning, and/or Robotics, with a strong focus on real-world applications.
• Proficient in Python, with clean, efficient coding practices and experience in building scalable systems.
• Hands-on experience in Robot Learning, including working with models such as OpenVLA, Pi0, or similar state-of-the-art approaches.
• Practical experience in robotic manipulation, preferably involving real-world robotic systems.
• Proficient with major machine learning frameworks, such as PyTorch or TensorFlow.

Beneficial Skills

• Experience in developing, integrating, and maintaining robotic software systems, preferably in real-world deployment scenarios.
• Strong background in robotic perception, including techniques such as object pose estimation.
• Segmentation, optical flow, depth prediction, tracking, or SLAM. Experience applying deep learning methods to perception tasks is a plus.
• Familiarity with a variety of robotic sensors, such as tactile and force sensors, and integrating them into control or learning pipelines.
• Demonstrated experience applying machine learning techniques within robotic systems, bridging the gap between AI models and physical-world performance.

What we offer

• Dynamic high-tech company combined with financial soundness and world class investors.
• Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
• Lots of development opportunities in the context of our continued growth.
• Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
• Corporate Benefits Program that covers health, mobility and learning with 100 € net per month.
• Modern office facilites with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.

About us

Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly.

This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!

We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.