Redefining Robotic Intelligence. Backed by Khosla.
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,
What they're looking for
- • A strong track record owning, integrating, or debugging complex ML, robotics, autonomy, or other sensor-rich systems across multiple layers
- • Excellent software engineering skills, including strong Python, maintainable system design, automated testing, CI, code review, and production-quality debugging practices
- • Hands-on experience with PyTorch or a comparable ML framework. You should be able to train or fine-tune models, inspect datasets and batches, interpret losses and outputs, load checkpoints, and debug inference behavior
- • Experience building or operating ML workflows that span data processing, training, evaluation, and deployment - not only one isolated part of the stack
- • Strong systems-debugging ability. You can take an ambiguous report such as "robot performance dropped" and turn it into a structured investigation with controlled experiments, measurements, and a defensible root cause
- • Familiarity with data-pipeline correctness, including schemas, versioning, temporal data, migrations, provenance, validation, and reproducibility
More about this role
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.
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...
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