✨ About The Role
- Responsible for building foundation models for on-vehicle and offline applications in the Prediction & Behavior ML team
- Develop state-of-the-art techniques in machine learning for behavior forecasting and motion planning in autonomous driving
- Collaborate with cross-functional teams such as Perception, Planning, Simulation, and Systems Engineering to solve complex problems in urban environments
- Leverage large-scale machine learning infrastructure to discover new solutions and improve autonomous driving systems
- Develop metrics and tools to analyze errors and drive continuous improvement in the performance of machine-learned models
âš¡ Requirements
- Experienced machine learning engineer with a background in developing and deploying deep learning models for autonomous driving applications
- Proficient in PyTorch, TensorFlow, or JAX with a strong understanding of self-supervised learning, semi-supervised learning, and generative models
- Skilled in algorithm design and software engineering for real-time execution of machine learning algorithms
- Strong mathematical skills and a degree in Computer Science or a related field
- Prior experience in training large and complex models, with a focus on Prediction and/or Autonomous Vehicles