(Senior) AI Engineer (m/f/d) Embodied AI & Learning from Egocentric Videos at Agile Robots SE

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

07 Oct, 26

Salary

0.0

Posted On

09 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Vision-Language-Action Models, World Models, Transformer Architectures, Foundation Models, Python, PyTorch, ROS2, Video Data Preprocessing, Multimodal Learning, Diffusion Models, C++, Robotics Software Engineering, Robot Learning from Demonstrations, Perception Integration, Manipulation, Teleoperation

Industry

Automation Machinery Manufacturing

Description

About the role The AI Research Division of Agile Robots is looking for a (Senior) AI Engineer (m/f/d) Embodied AI & Learning from Egocentric Videos, who will develop learning algorithms that enable robots to acquire manipulation skills from large-scale egocentric video and multimodal demonstration data. Your Responsibilities Learning Algorithms: Develop and improve AI algorithms for robot learning from egocentric video, using approaches such as Vision-Language-Action (VLA) models, world models, transformer-based architectures, and foundation models. Data Pipelines: Design and implement scalable pipelines for egocentric data collection, synchronization, annotation, and preprocessing. Training Pipelines: Build large-scale training and evaluation pipelines for robot learning from demonstrations. Multi-Modal Learning: Explore learning approaches that combine video, audio, text, and sensory data. System Translation: Translate product and research requirements into scalable software architectures and production-ready AI systems. Essential Skills Background: Master's degree in computer science, automation, robotics, AI, or a related field, or an equivalent combination of formal training and professional experience. Learning Architectures: Experience with one or more of Vision-Language-Action (VLA) models, world models, transformer-based video models, diffusion models, or multimodal foundation models. ML Engineering: Proficiency in Python and deep learning frameworks such as PyTorch for AI development. Video Data Handling: Experience working with large-scale video datasets, including preprocessing and annotation tooling. Robotics Software: Familiarity with ROS2 and software development for robotics. Beneficial Skills Professional Experience: 2 to 5+ years of professional experience in robotics software engineering. Additional Languages: Familiarity with C++ alongside core Python proficiency. Robotic Integration: Hands-on experience integrating perception, manipulation, or teleoperation on real robotic platforms. Publications: Publication record in machine learning, computer vision, or robotics venues. Your Profile 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.

Responsibilities

Develop AI algorithms for robot learning from egocentric video using VLA and foundation models. Design scalable data and training pipelines to enable robots to acquire manipulation skills from multimodal demonstration data.