Sr. ML Ops Engineer

Corvus Robotics

1d • Hybrid

About The Position

Corvus Robotics is developing fully autonomous drones, Corvus One™, that use computer vision and robotics to automatically track inventory in warehouses. This role is for a systems-oriented Senior Software Engineer who will build the data infrastructure, training pipelines, and internal tooling to accelerate ML iteration speed and enable the delivery of more advanced ML products. The engineer will own the ML data infrastructure from robot to training run, making it accessible to the ML team without requiring backend engineering assistance. Responsibilities include building and maintaining data pipeline infrastructure, developing tooling for dataset selection and curation, creating model evaluation and regression testing infrastructure, and automating the model retuning loop.

Requirements

• 2-3 years shipping real production ML infrastructure for big datasets, not just scripts
• Experience building distributed data pipelines that consolidate multiple sources
• Demonstrated understanding of data flow from raw collection, labeled training set, to trained models
• Experience building systems from scratch, or contributed heavily to a small-team infra build where the playbook didn't exist
• Ability to thrive in a startup environment with high ambiguity. You'll figure out what to build

Nice To Haves

• Experience setting up annotation tooling and workflows
• Background in robotics autonomy and computer vision
• Experience integrating with tools like Kubeflow, SLURM, or similar for scalable training workflows

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed