About the role

Aplyr's Quick Take

This role is for an ML Research Engineer focused on developing and deploying machine learning models for clinical monitoring. You'll be working hands-on with data from medical devices, translating research into practical applications while collaborating with various teams. It's a mix of research and engineering, requiring both coding and experimental design skills.

Good fit

Ideal candidates have a strong background in machine learning and experience in a research or engineering role, preferably in healthcare. You should be comfortable with rapid iteration and have a scientific approach to problem-solving.

Worth noting

The role emphasizes a deployment-first mentality, which may not be typical in many research positions. Additionally, you'll be working with real patient data, which adds a layer of responsibility and complexity.

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.

Skills & Tags

go ai data product design

Aplyr's read

Circadia Health leverages data and AI to enhance patient care, attracting tech-savvy professionals passionate about healthcare innovation.
Synthesized from recent postings & public sources

What's promising

•Strong focus on AI-driven healthcare solutions to improve patient outcomes.
•Recent hiring of diverse roles suggests growth and expansion.
•Opportunity to work at the intersection of technology and healthcare.

What to watch

•Highly competitive industry with rapid technological advancements.
•Dependence on data accuracy and AI efficacy for success.
•Limited public information about financial stability and long-term viability.

Why Circadia Health

•Specializes in integrating AI with healthcare to address specific patient needs.
•Employs a multidisciplinary team, including engineers and healthcare professionals.
•Focus on both technological innovation and practical healthcare application.

Aplyr’s read is generated by AI from public sources. Was it useful?