Clinical Coder at St Vincent’s Private Hospital analyzing patient records and assigning ICD clinical codes for accurate care classification. Participating in ongoing training and audits to maintain coding quality.
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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