Watney
Machine Learning Engineer
San Francisco · On-site · Full-time · Posted Sep 16, 2026
About the job
Develop and improve machine learning models for autonomous robots using real-world fleet data, from training experiments through evaluation on the fleet.
What you'll do
- Run and evaluate model-training experiments; track metrics to assess model performance.
- Curate and clean training data, and improve how new data is labeled and structured.
- Work with Teleoperations to understand and improve data collection at its source.
What they ask for
- Experience training models on real-world data from actual operations.
- Experience with imitation learning, reinforcement learning, or a similar control method.
- Ability to write production ML code, such as in Python and PyTorch.
- Comfort cleaning and curating messy, real-world data.
Tools
Python, PyTorch
AI focus
Train and evaluate robot models across perception, decision-making, and action, with a stated progression from imitation learning toward broader generalization.
Model-written summary · the original posting is authoritative