Senior Deep Learning Engineer – Medical Computer Vision

Senior Deep Learning Engineer – Medical Computer Vision (Clinical AI) Mackay, QLD A$160,000-$190,000 p/a + Super + Bonuses On-site Posted 1 day ago Build Clinical AI That Saves Lives – From Day One We are a newly established Australian MedTech company founded by a specialist clinician, focused on developing a clinical-grade Artificial Intelligence system for early melanoma detection using dermoscopy . This is not a consumer app, marketing tool, or academic side project.This is a regulated Software as a Medical Device (SaMD) being built for real-world clinical use. We are now seeking a Senior Deep Learning Engineer to become our foundational technical leader and take ownership of the core computer vision system from architecture through to clinical deployment. You will work directly with the medical founder , who provides expert, feature-level annotations — removing the single biggest weakness in most medical AI projects: poor-quality training data . Why This Role Is Different You are not joining a bloated tech team — you are building the AI engine from the ground up Your work directly impacts real clinical diagnosis , not click-through rates You will have true technical ownership , not a narrow Jira ticket role You will be working with clean, expertly annotated medical data You will play a central role in a TGA-regulated medical device project Key Responsibilities Design, implement, and optimise deep learning computer vision models for: Final lesion classification (benign vs malignant) Build robust MLOps pipelines for training, validation, deployment, and monitoring Lead all AI documentation required for: TGA SaMD compliance Risk analysis and data integrity Implement Explainable AI (XAI) methods to support clinician trust Work in close weekly collaboration with the clinical founder for validation and iteration Essential Experience (Non-Negotiable) 2+ years of hands-on experience in Deep Learning / Machine Learning Proven real-world experience with image segmentation (U‑Net or similar is essential) Academic project experience in image segmentation is acceptable as the minimum level of experience required Strong proficiency in Python and PyTorch or TensorFlow Experience deploying ML systems in cloud environments Prior exposure to: Medical imaging or Regulated software environments (medical, safety‑critical, ISO, or similar) Highly Regarded MSc or PhD in Computer Vision, AI, or a related discipline Experience with multi‑task learning Strong understanding of clinical performance metrics (AUC, sensitivity, specificity) Experience managing data bias and class imbalance in medical datasets What We Offer Highly competitive, above‑market total remuneration based on experience Performance‑based bonuses Relocation & settlement assistance within Australia for the right candidate Hybrid flexibility once established Direct access to clinical expertise and real‑world validation Long‑term role stability in a founder‑led MedTech venture The opportunity to build technology that directly improves patient outcomes Location – Why Mackay? Mackay offers an exceptional lifestyle balance with: Affordable housing Coastal living Short commute times Direct access to the Whitsundays A growing healthcare and professional services sector This role is ideal for someone who wants high‑impact work without capital‑city burnout . Important – How to Apply To be considered for this role, you must submit a tailored cover letter that clearly explains: Why this role specifically interests you Your most relevant experience in image segmentation and clinical AI What excites you about building regulated medical software Applications without a genuine, thoughtful cover letter will not be reviewed. ✅ Local Australian applicants only ✅ No overseas sponsorship available Mackay, QLD, Australia This company does not have any further information provided at this time. We encourage you to research the company by searching for them to learn more about the company or role in question before applying. #J-18808-Ljbffr