Faculty AI Scientist (Scientist II)
Tasks
- Apply deep learning and foundation models to multimodal data
- Build ethical scalable AI solutions for real world healthcare
- Create end to end AI delivery pipelines
- Develop validate deploy AI models for cardiovascular applications
- Lead publications grants and presentations
- Perform data curation model training evaluation monitoring
- Supervise trainees and collaborate across partners
- Support clinical integration and post deployment monitoring
Perks/Benefits
- Career advancement
- Corporate discounts
- Flexible work environment
- HOOPP pension
- On-site gym
- Parking discounts
- Professional development
- Transit access
- Travel discounts
- UHN shuttle service
Skills/Tech-stack
AI Safety | CT | Data Fusion | Deep learning | DevOps | ECG | Electronic Health Records | Explainability | Fairness | Foundation Models | Generative AI | Genomics | Health Records | Language Models | Language Processing | Large Language Models | MLOps | MRI | Machine Learning | Medical Imaging | Model Governance | Model Monitoring | Multimodal Learning | Natural Language | Natural Language Processing | Python | Self-Supervised Learning | Self-supervised | Series analysis | Supervised Learning | Time Series | Time Series Analysis | Transformers | Wearable data
Education
Doctor of Philosophy | Master of Engineering | Master of Science | Master of Science in Computer Science | Master of Science in Machine Learning | PhD
Roles
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