Sr. ML Ops Engineer

With a growing fleet of autonomous drones and an expanding customer base, we're now ready to multiply ML iteration speed and unblock more advanced ML product delivery.

We're hiring a systems-oriented Senior Software Engineer to build the data infrastructure, training pipelines, and internal tooling that our ML team needs to move faster.

Specifically in this role you will:

Build and maintain the data pipeline infrastructure that consolidates internal infra, labeling tools, S3, and other data sources into a unified, queryable system

Build tooling for dataset selection and curation that can programmatically target specific data (by environment, object type, etc.)

Own ML data infra from robot to training run, accessible to the ML team without backend engineering help

Build model evaluation and regression testing infrastructure -- real metrics, not vibes or "someone complained in prod"

Automate the model retuning loop for standard tasks so ML engineers can be mostly hands-off on routine updates

This is a hybrid or remote role with periodic trips to HQ in Mountain View, CA.