ML Research Engineer

As an ML Research Engineer at Circadia Health, you will research, design, and build the next generation of models and algorithms that power our clinical monitoring platform. You will work at the intersection of research and engineering, formulating hypotheses, designing experiments, implementing models, and deploying them into real clinical environments.

Requirements

• Research and develop novel models and algorithms that will form the foundation of Circadia's next-generation AI capabilities
• Stay current with relevant ML research and rapidly prototype ideas from the literature
• Formulate, design, run, and learn from experiments with scientific rigor
• Implement and adapt models to function effectively and efficiently in deployment environments
• Work with ML Ops and backend engineering teams to ensure models meet production requirements for latency, memory, reliability, and maintainability
• Optimise models for constrained compute environments where needed
• Work closely with clinical research teams to design validation studies, define performance benchmarks, and generate evidence to support regulatory approval
• Help define future-proof technical and data collection requirements in conjunction with clinical and signal processing teams
• Document technical methods, experimental results, and architectural decisions for internal and external consumption
• Present research findings to technical and non-technical stakeholders
• Contribute to publications, white papers, or regulatory submissions as needed

Benefits

• Competitive salary and benefits package
• Opportunity to work on real-world healthcare problems with measurable patient impact
• Collaborative and dynamic work environment
• Professional development and growth opportunities