To advance the state-of-the-art in AI for autonomous vehicles, with a specific focus on encoders for camera, lidar, and radar, and to develop algorithms and models that shape the future of self-driving technology at General Motors
Requirements
- Solid understanding of modern machine learning techniques, especially deep learning architectures (e.g., transformers, generative models, multimodal learning)
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Research experience in AI/ML, demonstrated through coursework, academic projects, or publications
- Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS)
- Experience working with large-scale datasets and training ML models in high-performance computing environments
Responsibilities
- Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, self-supervised learning
- Prototype ML models that improve perception, prediction, or decision-making for autonomous driving
- Collaborate with cross-functional teams, including research, robotics, and systems engineering
- Participate in technical discussions, share insights, and work towards publishing results
Other
- Currently pursuing or in the process of obtaining a Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field
- Strong problem-solving skills and a collaborative mindset
- Strong communication and presentation skills
- Experience working and communicating cross functionally in a team environment
- Able to work fulltime, 40 hours per week
