Research Scientist (Visual Generative AI & World Models)
Core
Advance AI research at the intersection of visual generative modelling, multimodal learning, world models, and hardware-aware machine learning for applications in embodied AI, robotics, and autonomous systems.
Role type
Research Scientist (Visual Generative AI & World Models)
Builds
Frontier AI models and research publications influencing future AI compute hardware and software systems.
Domain
AI/ML, Computer Science, Robotics, Semiconductor Hardware
Deliverable
production ML models | research
Required skills
Visual generative AI, visual understanding, world models, Python, deep learning frameworks (PyTorch/JAX), deep learning fundamentals, experiment design and analysis, mathematical foundations (calculus, probability, linear algebra), research publication record
Preferred skills
Multimodal reasoning, action-conditioned models, embodied AI, robotics, C++/CUDA/Triton, hardware efficiency programming, deep learning software stacks (graph compilation, kernel fusion, XLA/ATen)
Responsibilities
Develop and evaluate new ideas in visual generative AI, multimodal modelling and world models from hypothesis to publication; Prepare, submit and present work to AI conferences and workshops; Collaborate with researchers, software engineers and silicon teams to align AI workloads with future hardware and software systems
Seniority
Mid-Senior, hands-on IC
