Humanoid · 11–50 people · Series A
Deep Learning Engineer - World Models
- London
- On-site
- Permanent
Builds action-conditioned generative world models that predict future video, proprioception, contacts and outcomes for humanoid robots, using diffusion and transformer architectures. The role spans large-scale distributed training, learned-simulator policy evaluation, synthetic rollout generation and sim-to-real transfer, working hands-on with real fleet data alongside pretraining, RL and manipulation teams.
PyTorch · JAX · Isaac Sim +1