Senior Machine Learning Engineer

📋 Description

• Improve existing production machine learning models through systematic error analysis, improved
• Develop machine learning models for new products, taking problems from initial formulation and
• Collaborate with clinicians and product stakeholders to define meaningful evaluation criteria
• Evaluate model robustness across patient populations, clinical sites, imaging equipment, and
• Improve data curation and annotation workflows by addressing coverage gaps, label quality, and
• Build reproducible training and evaluation pipelines with traceable datasets, experiments, and

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline, or
• 5+ years of hands-on experience developing and delivering machine learning models, with
• Strong foundations in deep learning and computer vision, including practical experience with image
• Advanced Python skills and experience with a modern deep learning framework such as PyTorch.
• Proven experience deploying machine learning models into production products and measuring their
• Strong experimental design and evaluation skills, including appropriate baselines, uncertainty

🎁 Benefits

• Remote/hybrid working environment.
• Position based in Melbourne, Victoria, Australia.
• Opportunity to work on applied machine learning and computer vision solutions with meaningful
• End-to-end exposure across data, experimentation, model development, validation, deployment, and
• Collaboration with machine learning engineers, software engineers, clinicians, product teams, and
• Opportunity to work on challenging problems involving model robustness, clinical variability