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This listing was closed on Jul 19, 2026.
Browse Open JobsMachine Learning Engineer/Scientist
Summary by AIEngineer.careers
Machine Learning Engineer/Scientist is a Machine Learning Engineer role (full-time). with University of British Columbia (UBC). in VANCOUVER, CA. Compensation shown: $55K–$79K (est.). Imported listing (source: ziprecruiter.com). Apply on the employer's site (ziprecruiter.com).
Imported listing (source: ziprecruiter.com) · Apply on ziprecruiter.com
VANCOUVER · CA
$55K–$79K (est.)
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from ziprecruiter.com
UBC's AI in Medicine Lab seeks a Machine Learning Engineer/Scientist to develop ML infrastructure for cancer imaging, drug development, and bioinformatics. The role involves implementing algorithms for medical image analysis, genomics, and protein-ligand binding using advanced models like AlphaFold. This is a 1-year term position with possibility of extension.
Responsibilities
- Conduct literature reviews on medical imaging, genomics, and drug analysis to evaluate ML applications.
- Design and develop ML models for medical imaging, bioinformatics (including single cell and spatial omics), and drug development.
- Analyze tissue images and protein-ligand binding affinity using advanced algorithms such as AlphaFold and foundation models.
- Modify and tune programming modules to integrate with image management platforms.
- Analyze results, document, and prepare reports.
Requirements
- Undergraduate degree in Engineering or Applied Science.
- Minimum 1 year of related experience.
- Experience with machine learning, medical imaging, bioinformatics, or drug development.
- Willingness to respect diverse perspectives.
Nice to Have
University of British Columbia (UBC)
Vancouver · CA · 15000+ employees
The University of British Columbia is a major public research university with campuses in Vancouver and Kelowna. It is a center for academic research, education, and community engagement.
