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.