Full-Stack Engineer, ML Tooling & Infrastructure

This role serves as a force multiplier for a core computer vision and machine learning team by owning the internal tooling, infrastructure, and targeted ML services that enable rapid development. The position involves building and maintaining user-facing full-stack applications, including an annotation platform and a privacy-blurring pipeline, while deploying and optimizing ML models for practical use. It is a hybrid role combining practical ML deployment with robust application development to support the team's workflow.