ML Research Engineer

Requirements

• Master's degree in Computer Science, Machine Learning, Data Science, Mathematics, or another highly quantitative field.
• Ability to write production-grade, maintainable code in Python.
• Solid understanding of classical machine learning techniques with experience applying them to real-world problems.
• Strong knowledge of deep learning methods and frameworks (e.g. PyTorch, TensorFlow, JAX) with an ability to quickly implement research papers into production-grade code.
• Strong scientific mindset: ability to rapidly iterate by formulating, running, and learning from experiments.
• Strong written and oral communication skills, both technical and non-technical.

Additional Information

Position Overview 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. Circadia's devices use radar to continuously and contactlessly capture respiratory rate, heart rate, and movement data from thousands of patients - alongside audio and other physiological signals. This continuous sensing data is paired with deep clinical context from EHR integrations including conditions, medications, clinical notes, and care events, resulting in a dataset of extraordinary scale and depth that we've only begun to tap. Your work will push into novel problem domains: physiological foundation models, patient activity monitoring, radar-based bed-exit detection, and voice-based phenotyping - turning research ideas into production-grade systems that run on Circadia's devices and cloud infrastructure. Reporting to the Principal ML Engineer, you will work at the intersection of research and engineering: formulating hypotheses, designing experiments, implementing models, and deploying them into real clinical environments. You will collaborate closely with clinical research, signal processing, and data teams to validate algorithms, define data collection requirements, and support regulatory approval. This role requires a strong scientific mindset paired with a deployment-first mentality. We're looking for someone who can rapidly translate research papers into working code, iterate through experiments with rigor, and ship models that perform reliably on real patient data. Why Circadia Health Circadia Health is redefining patient monitoring through contactless sensing and AI-driven clinical insights. As we scale from tens of thousands to hundreds of thousands of monitored patients, our data infrastructure is central to everything we do. You'll have the opportunity to: - Work on real-world healthcare problems with measurable patient impact - Build data systems that power clinical-grade AI and ML - Take ownership in a fast-growing, mission-driven company - Collaborate with a highly skilled, multidisciplinary team

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