Robotics ML Data Tools Engineer

Watney; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Watney is seeking a tools engineer to build the internal tools that convert robot field data into trainable datasets. You will own the viewer, dataset curation tools, and the annotation tooling while shaping how data is labeled and reviewed for model training.

You’ll work closely with the ML team, fleet engineers, and data annotators to ensure data quality and tool effectiveness for scalable robotics development.

Qualifications

• Built an internal tool that became the standard way a team works.
• Developed visualization or analysis tooling for large sensor/video data.
• Created dataset tooling or data pipelines that ML engineers train from.
• Designed labeling or review workflows for high-volume data annotation.

Responsibilities

• Own the viewer engineers use to play back a robot’s data and line up telemetry with errors.
• Own dataset curation: the dataset API and the tools engineers use to find and group episodes and build training sets.
• Build annotation tooling with the rest of the software team, and weigh what we build against what we buy.
• Build the quality review process for annotated data.
• Collaborate with the ML team, the engineers who debug the fleet, and the annotators who label data.

Skills

Internal tool development

Visualization tools

Dataset tooling

Labeling workflow design

Tools

Annotation tooling

Job description

Watney is seeking a tools engineer to build the internal tools that convert robot field data into trainable datasets. You will own the viewer, dataset curation tools, and the annotation tooling while shaping how data is labeled and reviewed for model training.

You’ll work closely with the ML team, fleet engineers, and data annotators to ensure data quality and tool effectiveness for scalable robotics development.