Join Oncoustics as a Lead Machine Learning Engineer and innovate medical imaging with cutting-edge AI technologies. Focus on improving ultrasound methodologies through advanced ML strategies.
This full-time position based in Toronto requires a passionate leader with extensive experience—at least 5 years—in the development of AI/ML models directly impacting healthcare. You will manage cross-functional teams, integrating efforts from software engineering to product development.

A solid command of deep learning architecture and optimization techniques is essential for facilitating progress in the field.

Key Responsibilities:

- Oversee development of ML models in Tensor Flow and PyTorch
- Enhance collaboration within multi-disciplinary teams




- Coach staff on ML engineering effectiveness
- Improve communication practices within R&D;
- Define and supervise ML engineering processes

Requirements:

- Graduate degree and relevant undergraduate degree
- 5+ years of AI/ML industry experience
- Proficiency in Python and key deep learning packages
- Experience with attention mechanisms and GANs
- Prior experience with FDA algorithm clearance

Drive transformation in medical imaging by harnessing your expertise at Oncoustics.

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📌 Lead Machine Learning Engineer at Oncoustics (Toronto)
🏢 Oncoustics
📍 Toronto