Machine Learning Engineer (Model Dev)

About the role

Remote ML model-development role in medical AI. Graduate research counts toward the one-year model-development requirement. Strong overlap with self-supervised representation learning, foundation models, robustness, interpretability, PyTorch, evaluation, reproducible experimentation, and publications; oncology/clinical data is the main domain gap.

Requirements

• At least 1 year developing ML/deep learning models, including graduate research
• Python and modern software engineering practices
• Real-world dataset evaluation and validation
• Research publications or academic projects valued
• Oncology and biomarker knowledge; clinical data experience valuable

What you'll do

• Develop and evaluate AI biomarkers using multimodal clinical, pathology, and molecular data
• Build self-supervised foundation models and downstream ML systems
• Improve robustness, interpretability, and reproducibility across clinical environments
• Build reproducible validation and deployment pipelines
• Contribute to research publications and conference presentations

Where this was posted

• LinkedIn

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