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Key skills for this role
Train evaluation models: Develop VLMs that classify and verify policy behavior.
Build confidence layers: Convert model outputs into trustworthy signals the customer can act on.
Improve model grounding: Make the eval models reason accurately about physical and spatial scenes.
Build a self-improving eval layer: Develop data engine that makes the eval models sharper with each customer's deployments and corrections.
Developing world models for robot simulation and policy evaluation.
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USD 150000-275000 yearly / year
Full-time
Senior
Onsite
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