Senior Integration Developer at Carrier designing and building enterprise integrations and APIs. Collaborating cross - functionally to support global business domains with secure and scalable solutions.
About the role
- AI/ML Research Intern at General Motors working on advanced machine learning algorithms for autonomous vehicles. Collaborating with cross-functional teams to innovate in self-driving technology.
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.
- Collaborate with cross-functional teams, including perception, robotics, and systems engineering.
- Participate in technical discussions, share insights, and work towards publishing results.
Requirements
- Currently pursuing or in the process of obtaining a Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field.
- 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.
- 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.
Benefits
- Paid US GM Holidays
- GM Family First Vehicle Discount Program
- Result-based potential for growth within GM
- Intern events to network with company leaders and peers
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