5mo ago

Embodied AI Engineer

Hqfull-timemid

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

Design, build, and deploy sophisticated, data-driven control architectures. You will create frameworks that synthesize complex, multi-modal sensor inputs, enabling our robotic systems to make nuanced,

Requirements Summary

MS or Ph.D. in Computer Science, Robotics, Machine Learning, Artificial Intelligence, or a closely related quantitative field. Programming Excellence: Strong,

Technical Tools

Machine Learning EngineerData

Embodied AI Engineer

UnitX builds the world's leading physical AI systems to automate repetitive visual tasks in factories. UnitX is a fast-moving startup with a team from Stanford, MIT, Google, and beyond. Since inception, UnitX has deployed 1,000+ mission-critical systems across 190+ of the world's leading manufacturers' production lines. Every year, $15B worth of products go through UnitX's AI inspection system to ensure quality.

We are seeking a visionary and driven Embodied AI Engineer to serve as a cornerstone of our intelligent robotics team. In this role, you will own the critical intersection of virtual environments and physical intelligence. You will not only architect the high-fidelity physics simulations that serve as the virtual proving grounds for our fleet, but also design, train, and deploy the advanced machine learning paradigms that learn from them. By controlling this entire sim-to-real lifecycle—seamlessly turning massive amounts of synthetic and real-world data into robust, scalable algorithms—you will empower our robots to generalize their intelligence across a multitude of complex, high-precision manufacturing tasks.