Research Member of Technical Staff- Robot Learning Systems & Reliability

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.

About the Role

We're looking for a senior or staff-level Research Engineer or ML Systems Engineer to make our robot- learning pipeline reliable, reproducible, and measurable from end to end.

You will own the supported path from robot data collection through dataset generation, model training,

inference, and real-robot evaluation. You will build the validation systems, regression tests, observability,

and operating practices that allow researchers to trust their experiments and quickly distinguish model limitations from data, software, infrastructure, hardware, or evaluation failures.

This is a core research systems role -