Senior AI Research Engineer for Foundation Models | Senior AI Research Engineer (m/w/d) Foundation Models
Agile Robots SE
Job Summary
This role involves joining the AI Research Division at Agile Robots to focus on learning-based robot policies and multimodal foundation models for embodied intelligence. As a Senior AI Research Engineer, you will be responsible for designing and training vision- and language-conditioned robot policies using advanced techniques like imitation learning and transformer architectures. You will own the end-to-end learning pipeline, from defining model architectures and inductive biases to analyzing policy behavior under real-world uncertainty. The position requires a deep understanding of how perception and language map to physical robot behavior, necessitating close collaboration with robotics and platform teams to ensure system-level alignment. This role is particularly attractive for those looking to work at the intersection of cutting-edge AI research and physical robotics within a highly international environment of over 60 nationalities, offering significant professional growth and the chance to shape the future of intelligent precision assembly.
Required Skills
Education
Master’s or PhD in Computer Science, Robotics, AI, or a related technical field.
Experience
- Professional experience designing and training learning-based policies for robotics using imitation or reinforcement learning
- Hands-on experience adapting or designing transformer-based or vision-language-action models for embodied tasks
- Demonstrated experience in model-level debugging and improving policy robustness in real-world or semi-real environments
- Experience with implementation of training loops and experimentation workflows using modern ML frameworks
- Experience with large-scale training, GPU clusters, or distributed training is beneficial
- Experience validating learned policies on real robotic systems or high-fidelity simulations is preferred
Languages
Additional
- Work location is Munich, Germany. The role requires the ability to work in a full-time, permanent (unbefristet) capacity. Candidates should have the ability to collaborate across interdisciplinary teams including robotics, perception, and platform units.
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