AI/DL Engineer (m/f/d) Video Generative Modelling

About the role

The AI team at Agile Robots is looking for an experienced AI/DL Engineer with a proven track record in building, training, and deploying large-scale AI models. The ideal candidate should have a strong background in generative models, having successfully deployed them in industrial or research settings. You will play a key role in shaping Agile Robots' next-generation robot learning systems and leading efforts from prototyping to deployment.

Your Responsibilities

• Model Development : Build and optimize video generation models for simulation, training data creation, and predictive applications.
• Multimodality : Build and maintain multimodal generative models integrating video, audio, text, and robot proprioception data.
• Evaluation : Design experiments and benchmark video quality against industry standards and technical requirements.
• Research Translation : Apply advances in generative modelling to improve production systems.
• Data Pipelines : Design scalable pipelines for training on large-scale video datasets.
• Collaboration : Work with cross-functional teams; communicate results for deployment and publications.
• Travel : Periodic travel to partners in the US, Europe, or China.

Essential Skills

• Experience : 3+ years building generative video models, including conditional generation, multimodal fusion, and temporal consistency optimization.
• Architectures : Proficiency with state-of-the-art approaches (diffusion, autoregressive transformers, GANs, VAEs, DiT).
• Temporal Quality : Deep understanding of methods for temporally coherent, high-quality video generation; expertise in evaluation metrics.
• Algorithm Implementation : Ability to implement and compare state-of-the-art algorithms for spatial/temporal consistency.
• Experimentation : Experience designing benchmarks on large-scale video datasets and interpreting quality/performance metrics.

Beneficial Skills

• Domain & Rendering : Background in computer vision, 3D modeling, multimedia processing, or advanced rendering techniques.
• Deployment : Experience bringing generative models into production, including optimization for real-time inference and scalability.
• Embodied AI & World Models : Knowledge of embodied AI, robot planning, predictive modelling, and world model architectures (e.g., video transformers, recurrent state-space models).
• Integration & Sim-to-Real : Experience collaborating in multi-disciplinary teams, communicating results clearly, and working on sim-to-real transfer or robotics benchmarks (e.g., Dreamer, RT-X, Bridge V2).

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.