Senior/Principal Machine Learning Engineer - Aus

Harrison.ai

8d • Remote

About The Position

At Harrison.ai, we’re redefining what’s possible in healthcare. Through our diagnostic AI solutions, we’re building tools that support clinicians to deliver earlier, more accurate diagnoses and raise the standard of care for millions of patients worldwide. Our mission is bold but simple: to scale global healthcare capacity and create a fairer, healthier world. By using AI as a co-pilot for clinicians, we’re tackling one of healthcare’s biggest challenges, the shortage of human expertise, and giving every patient the chance to access timely, high-quality care, no matter where they live. Because while we’re building cutting-edge AI, what we’re really building is hope—that everyone can access the healthcare they deserve. And we’re just getting started. Reporting to the Head of AI Engineering, the Senior/Principal ML Engineer translates the latest advances in artificial intelligence, including foundation models and self-supervised learning, into AI-as-a-medical-device products. Our AI Engineers work in dynamic teams alongside Software Developers, Testers, Cloud DevOps and Integration Engineers. We're looking for a self-starter whose passion for learning shows in the adoption of new tools and best practice. As part of our R&D team, we offer the unique opportunity to make a direct, meaningful impact on the lives of patients and their families.

Requirements

• Extensive experience in an ML engineering or applied research role, working closely with software development teams
• Extensive experience with Python and modern deep learning frameworks such as PyTorch
• Hands-on experience building foundation models and self-supervised learning methods
• Honours or higher academic qualification in computer science, and/or strong quantitative grounding and equivalent software engineering work experience
• Experience evaluating generative AI models and partnering with model training at scale

Nice To Haves

• Experience with healthcare data and solutions
• Practical experience in building, deploying and testing ML models in a product development context using software engineering best practices
• Experience with large-scale distributed training, AWS cloud development, and/or computer vision and natural language processing
• Experience with a range of AI tools and techniques
• PhD in ML or equivalent research experience
• Publications or open-source contributions in foundation models, self-supervised learning or generative AI

Responsibilities

• Develop AI algorithms, prototypes and solutions for healthcare, with a focus on foundation models and self-supervised learning
• Optimise models and training pipelines for accuracy, scale and rapid experimentation
• Follow agile methodology and software engineering best practice, focussing on test-driven development, rapid prototyping, validation and iteration
• Provide regular technical and other progress reports relevant to projects, and ensure all progression is properly documented
• Engage with the literature to benchmark against and adopt state-of-the-art techniques and algorithms
• Rigorously evaluate generative AI models, and partner closely with teams training models at scale
• Contribute to a culture of excellence, helping to solve problems as they arise, instil a culture of best practice, integrity and agility, as well as champion the Harrison mission internally and externally

Benefits

• Yearly L&D budgets
• Mentoring
• Hackathons
• Secondments
• Transparent growth framework
• WFH options
• Flexible hours
• Inclusive, thoughtful policies to support families in every stage (from fertility to parenthood, loss, and even grandparenthood)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree