MissionOwn end-to-end robot model evaluation for Research. Turn research questions into consistent, high-quality, repeatable evals that enable fast iteration and trusted results.
Responsibilities- Translate research intent into clear eval protocols, trial plans, and success criteria.
- Own execution end-to-end: model handoff 1 station readiness 1 pilot execution 1 QA 1 results.
- Train and manage eval pilots; ensure consistency across people, shifts, and stations.
- Distinguish model failures from hardware, setup, operator, or data-quality issues.
- Maintain eval setups, resets, randomization, metadata, and experiment traceability.
- Track quality, throughput, and bottlenecks; continuously improve the eval process.
- Partner closely with Research, Robot Data, and Eval Platform teams.
What we1re looking for- Some understanding of robotics / ML experimentation.
- Computer science background or hands-on experience with coding
- Rigorous, detail-oriented, and able to understand the intent behind an experiment, not just execute instructions.
- Strong hands-on execution and ownership.
- Experience in robotics testing, data collection, lab operations, or QA preferred.
Success looks likeA researcher can hand off a model and research question and receive a trusted, standardized eval result with sufficient trials and QA.
