Robotics ML Engineer (m/f/d) Dexterous Manipulation

Festanstellung, Vollzeit · Germany, Munich (HQ)

About the role

The AI Research Division of Agile Robots is looking for a Robotics ML Engineer focused on learning-based, contact-rich manipulation. You will work at the intersection of learned policies and physical reality, using tactile sensing, force interaction and precise control to ground robot intelligence. This role is hands-on and failure-driven, centered on making learned behaviors stable, robust, and deployable on real robotic systems.

Your Responsibilities

Policy Grounding: Develop, refine, and stabilize learning-based manipulation policies under real-world contact, force, and compliance constraints.
Multimodal Learning: Build learning pipelines combining high-resolution vision, tactile, and force-torque signals.
Learning-Based Control: Develop and refine ML-driven approaches for precise, contact-rich manipulation.
Sim-to-Real Deployment: Train, validate, and deploy manipulation policies across simulation and real robot hardware, addressing sim-to-real gaps.
Debugging & Stability: Analyze tactile feedback, compliance behaviour, and policy stability to improve performance.
Cross-Functional Collaboration: Work closely with robotics, perception, and ML colleagues to prototype, iterate, and scale manipulation solutions.

Essential Skills

Robotics & Deep Learning: Strong background in robotics with hands-on experience applying machine learning to manipulation and control problems.
IL / RL Experience: Solid understanding of imitation learning and reinforcement learning for robotic systems.
Embodiment & Control: Experience working with contact dynamics, compliance, force interaction, or tactile feedback in real systems.
Simulation & Deployment: Practical experience with robotic simulation and sim-to-real workflows, including deployment on physical robots.
Programming: Strong Python and C++ skills, with experience using modern ML frameworks and ROS2-based systems.
System Debugging: Ability to reason about system-level failures across perception, policy, control, and hardware.

Beneficial Skills

Tactile/Haptic Systems: Experience with tactile sensing or force-feedback setups.
Policy Post-Training: Exposure to policy refinement, fine-tuning, or robustness improvements under real-world constraints.
Infrastructure & Deployment: Familiarity with containerization, model serving, or CI/CD pipelines for ML systems.
Research Exposure: Publications or applied research experience in robotics, machine learning, or related fields.

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.

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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.

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Vielen Dank für Ihr Interesse! Sollten Sie Probleme mit dem Formular haben, wenden Sie sich bitte an jobs@agile-robots.com.