On our Map Semantics team, you will have the opportunity to work with world-class machine learning (ML) engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The team develops ML models that detect fixed, semantic objects in multi-modal data, enabling mapping and real-time localization. These objects include lane lines, stoplights, traffic signs and other structures in the built environment. We are looking for proven technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company. What You'll Be Doing:
Define and execute semantic scene mapping projects that improve our self-driving vehicles' capability to efficiently map roadways and localize itself using autonomous vehicle and remote sensing data Develop machine learning models to reliably and efficiently detect the built environment using single or multi-mo...