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AI4Eyes is an innovative SaMD (Software as a Medical Device) startup transforming eye care through AI-powered clinical decision support, starting with dry eye disease. We work at the intersection of clinical research, artificial intelligence, and real-world healthcare, collaborating closely with optometrists, ophthalmologists, academic partners, and advisory boards. Our mission is to turn cutting-edge research into validated tools that integrate seamlessly into everyday clinical workflows.
About the role
The AI Intern will contribute directly to the development and evaluation of AI models powering AI4Eyes’ clinical platform. This is a hands-on, research-driven, and highly technical role focused on robustness, reliability, and real-world performance of multimodal clinical AI systems. The intern will be supervised by Adjunct Professor at McGill University and work closely with AI4Eyes’ Head of Technology.
Key responsibilities
- Train, fine-tune, and benchmark machine learning models using Python and PyTorch
- Work with real clinical images and videos from ongoing clinical trials
- Design and run experiments to evaluate robustness, failure modes, and reliability
- Stress-test models under noisy, incomplete, or challenging clinical data
- Build experimentation and evaluation pipelines for healthcare AI
- Experiment with LLM orchestration frameworks such as LangChain and LangGraph
- Run and manage large-scale experiments on cloud infrastructure (AWS or Azure)
- Contribute to scientific publications and patents This role does not involve front-end or UI development.
Qualifications
- Enrollment in an MSc or PhD program in AI, Machine Learning, or a related field
- Strong programming skills in Python
- Experience with deep learning frameworks, preferably PyTorch
- Solid understanding of machine learning and large language models
- Ability to read and implement ideas from scientific literature
- Comfortable working on open-ended research problems
Bonus
- Experience with multimodal AI (text and images)
- Familiarity with healthcare AI, robustness, or AI safety
- Experience running experiments on AWS or Azure
Internship details
Mitacs-funded internship (2 units, 8 months) with option to extendFull-time research internshipAffiliation with a Canadian university requiredPreferred start date: January 2026 (flexible)Hybrid or remote work, Montreal-based office
Why join AI4Eyes
- Work with real clinical data used to build production AI
- High ownership and direct impact on core technology
- Exposure to academic research, advisory boards, and startup execution
- Collaborative, diverse, and enjoyable work environment
- Opportunity for full-time employment after a successful internship