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Key skills for this role
Train video and dynamics models: Develop world models with action conditioning for manipulation policies.
Push long-horizon coherence: Develop architectures and training methods that extend rollout quality on hard physical tasks.
Own training infrastructure: Run multi-GPU clusters, write custom CUDA, debug at scale.
Build the world-model data engine: Design, implement, and improve a data engine that allows the world model to compound learning across customers and manipulation tasks.
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Developing world models for robot simulation and policy evaluation.
USD 150000-275000 yearly / year
Full-time
Senior
Onsite
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