✨ About The Role
- Develop new algorithms to model the future behavior of all agents in the environment and our own vehicle's actions
- Create generative deep learning algorithms to improve simulation realism for offline validation systems
- Build foundational models for on-vehicle and offline applications to enhance driving behavior and safety
- Utilize large-scale machine learning infrastructure to push the boundaries of the field and discover new solutions
- Collaborate with various engineering teams to solve the overall autonomous driving problem in complex urban environments
âš¡ Requirements
- Experienced machine learning engineer with a background in developing and deploying deep learning models for behavior prediction and simulation in autonomous vehicles
- Proficient in C++ and Python with a strong foundation in algorithm design and mathematics
- Skilled in training and deploying machine learning pipelines and frameworks for large-scale applications
- Ability to collaborate effectively with cross-functional teams such as Perception, Planning, and Simulation to solve complex problems in urban autonomous driving environments
- Strong communication skills and a passion for innovation in the field of autonomous mobility solutions