Strong schema design and data modeling, including distributed systems tradeoffs. Build ML infrastructure: training pipelines, dataset versioning, and model deployment.
Numbers & Facts
Location
San Francisco, California
Description
Responsibilities
Design and own the schemas and data models behind our production systems
Build and maintain data infrastructure on AWS
Build the artifact store for scans, meshes, model checkpoints, and calibration files
Build edge-to-cloud pipelines between robotic cells and our infrastructure
Build ML infrastructure: training pipelines, dataset versioning, and model deployment
Requirements
2+ years building data infrastructure on AWS (application-side, not platform operations)
Strong schema design and data modeling, including distributed systems tradeoffs
ML infrastructure experience
Ability to work across the stack, from analyzing data to designing the systems around it
Willingness to travel to customer sites
Preferred
Data infrastructure in a robotics, autonomy, or industrial IoT setting