We are seeking an AI engineer to design and develop auto-labeling algorithms and platforms to facilitate AI model development for the Perception component of our autonomous driving stack. In this role, you will work closely with Machine Learning engineers, data scientists, and software engineers to build scalable and high-performance pipelines that auto-label PBs of multimodal data and manage versioned datasets used by ML engineers to prototype and train online models with maximized productivity.
The Perception Labeling and Tools team aims to automate the dataloop and lead data-driven model development platforms and processes. The team is responsible for:
- Data mining tools and data pipelines, such as active learning framework, miner scheduling and visualization tools, CLIP embedding indexes, etc.- Labeling platforms such as human labeling web apps, labeling task and labeler management platform, auto-labeling pipelines.- Dataset management app for label data curation and versioned dataset management and model-loop integration.
