ML Research Engineer
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Posted on:
11 hours ago
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1 Vacancy
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Job Summary
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. Circadias 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 weve 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 Circadias 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. Were 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.
Key Responsibilities
- Research and develop novel models and algorithms that will form the foundation of Circadias next-generation AI capabilities including patient activity monitoring physiological foundation models radar-based bed-exit detection and voice-based phenotyping.
- Stay current with relevant ML research and rapidly prototype ideas from the literature adapting them to Circadias problem domains and data modalities.
- Formulate design run and learn from experiments with scientific rigor maintaining clear hypotheses controlled comparisons and reproducible results.
- Implement and adapt models to function effectively and efficiently in deployment environments including both cloud infrastructure and on-device inference on Circadias clinical monitoring hardware.
- 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 (e.g. quantisation distillation efficient architectures).
- 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 ensuring research efforts are grounded in clinical utility.
- Document technical methods experimental results and architectural decisions for internal and external consumption.
- Present research findings to technical and non-technical stakeholders including clinical partners and leadership.
- Contribute to publications white papers or regulatory submissions as needed.
Required Qualifications
- Masters 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.
Preferred Qualifications
- 3 years of experience in an ML role with both research and engineering components.
- PhD in Computer Science Machine Learning Data Science Mathematics or another highly quantitative field.
- Experience with cloud computing platforms (e.g. AWS GCP Azure) and deployment of models into production (e.g. Docker Flask FastAPI).
- Experience working with data from IoT devices or sensors (e.g. radar PPG ECG) particularly in a medical or health context.
- Experience with (or openness to) accelerating work using AI coding tools.
- Evidence of exceptional competence through one or more of: high-quality first-author publications in AI/ML significant open-source contributions strong performance in ML competitions or standout hackathon results.
What You Bring
- You combine research creativity with engineering discipline - youre as comfortable reading papers as you are shipping code.
- You think in experiments: you form hypotheses test them rigorously and iterate quickly.
- You care about clinical impact and are motivated by building technology that directly improves patient care.
- Youre comfortable working in a startup environment where youll move fast and operate with high autonomy.
- You communicate complex technical ideas clearly to both engineers and clinicians.
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.
Youll 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
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Key Skills
- Robotics
- Machine Learning
- Python
- AI
- C/C++
- OS Kernels
- Research Experience
- Matlab
- Rust
- Research & Development
- Natural Language Processing
- Tensorflow
About Company
Enabling early detection of respiratory failure powered by contactless sensing, clinic software, and artificial intelligence.
