The ML Engineer, Manipulation develops and deploys learning-based manipulation systems for mobile robots to interact reliably with the physical world in dynamic human environments. This involves building perception-to-action models, training datasets, evaluation tooling, and deployment pipelines to enhance robustness, generalization, and safety for real-world manipulation tasks.
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