Corvus Robotics
Sr. ML Ops Engineer
US Remote +1 · Hybrid · Senior · Full-time · Posted Jun 1, 2026
- Location
- US Remote
Mountain View, CA - Experience
- 2–3 years; no alternative stated.
About the job
Build the data infrastructure, ML training pipelines, and internal tools that help Corvus Robotics’ ML team accelerate development for its autonomous inventory-tracking drones.
What you'll do
- Consolidate data from internal infrastructure, labeling tools, S3, and other sources into a unified, queryable system; own data infrastructure from robot to training run.
- Develop tools for dataset selection and curation, plus model evaluation and regression testing infrastructure.
- Automate routine model retuning workflows.
What they ask for
- 2–3 years shipping production ML infrastructure for large datasets.
- Experience building distributed data pipelines that consolidate multiple sources.
- Understanding of data flow from raw collection through labeled training sets to trained models.
- Experience building systems from scratch or making a substantial contribution to a small-team infrastructure build.
Nice to have
- Experience setting up annotation tools and workflows.
- Background in robotics autonomy and computer vision; experience with Kubeflow, SLURM, or similar scalable training tools.
Tools
S3, Kubeflow, SLURM
AI focus
Build ML data and training infrastructure, evaluation and regression testing, and automation for routine model retuning.
Model-written summary · the original posting is authoritative