To advance vehicle autonomy by developing algorithms and models that shape the future of self-driving technology, specifically for 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.
- Experience working with large datasets, running parallel
- 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, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning.
- Prototype ML models that improve perception, prediction, or decision-making for autonomous driving.
- Work with very large datasets containing diverse road driving conditions and driving behaviors and build our large driving models with these datasets.
- Collaborate with cross-functional teams, including perception, 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
