Research visual generative models and world models for embodied AI.
•Research on visual generative models, multimodal learning and world models with a focus on hardware-aware ML and deployment for embodied AI and robotics.
•Key Responsibilities Develop and evaluate new ideas in visual generative AI, multimodal modelling and world models.
•Design and run experiments, analyse results and publish findings at conferences.
•Collaborate with software engineers and silicon teams to inform hardware and software co-design.
•Requirements Master's, PhD or equivalent in a technical discipline.
•Experience in visual generative AI, visual understanding or world models.
•Strong Python skills with modern DL frameworks (PyTorch or JAX).
•Solid deep learning fundamentals and ability to design and communicate experiments.
•Evidence of research output (publications, reports, or OSS).