• Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field • Develop and maintain core ML pipelines • Train and deploy deep learning models for real-time applications • Collaborate cross-functionally with camera, systems and labeling teams • Curate datasets for evaluating performance and comparing performance trends over time • Provide technical mentorship to other junior ML engineers