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The ML Infra Engineer will develop infrastructure for training large-scale AI models, focusing on data pipelines, distributed training optimization, and system architecture. Responsibilities include designing GPU clusters and evaluating cloud services.

Develop high-fidelity mathematical models and perform system identification for drivetrains, sensors, and contacts. Implement and validate those models in simulation, benchmark against real-world logs, and work with control, perception, and hardware teams to minimize the sim-to-real gap.

As an AI Research Scientist, you will conduct original research in learning-based robotics, working collaboratively with global teams to deploy solutions on actual hardware.