Advance the EXO world model: latent video and action dynamics that let the robot predict the consequence of an action before it takes it. Key responsibilities: Train and evaluate world-model and latent-dynamics heads on the frozen MOTHER backbone. Design rollout and evaluation harnesses that measure prediction quality honestly. Bring published research into the stack and report what does and does not transfer. Work with controls and manipulation to turn prediction into behaviour. Requirements: Strong machine learning research engineering; sequence and video models, latent dynamics, VLA or world models; PyTorch at multi-GPU scale; publishes or reproduces rigorously. Salary: Salary on application The Manchester factory comes online Q1 2027. Roles are recruited ahead of that date, with start dates agreed individually. #J-18808-Ljbffr
