Senior Coder specializing in IP DRG coding at Guidehouse. Ensuring accuracy and compliance in medical coding processes while working effectively with clinical teams.
About the role
- AI/ML Intern focusing on advanced machine learning methods for autonomous vehicles at GM. Collaborating on projects in vehicle autonomy and sensor data processing.
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.
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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