ML Engineer I, Robotics

Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or related field (PhD a plus).

0–2 years of experience (or strong project/research experience) in ML, CV, robotics, or software engineering.

Proficiency in Python and familiarity with PyTorch or another deep learning framework.

Experience with data processing pipelines and experiment tracking.

Ability to communicate clearly and work effectively with a team.

Build and maintain datasets: episode extraction, data validation, train/val/test splits, and dataset versioning.

Run training experiments and ablations; track results and maintain reproducible configs.

Improve evaluation pipelines: offline replay tests, metrics dashboards, failure case triage tools.

Support labeling workflows: sampling strategy, QA feedback loops, and integration of model-assisted labels.

Assist with model export and benchmarking tasks (latency, memory, throughput) on target hardware.

Participate in on-robot testing and help diagnose performance gaps with logs and visualizations.