🛠 Tech Stack

💼 About This Role

You'll research and build next-generation models and algorithms powering Circadia's clinical monitoring platform, working on novel problem domains like physiological foundation models and radar-based bed-exit detection. Your core impact will be turning research ideas into production-grade systems that run on devices and cloud infrastructure, collaborating with clinical and signal processing teams. This role uniquely combines research creativity with a deployment-first mentality in a high-autonomy startup environment.

🎯 What You'll Do

• Research and develop novel ML models and algorithms for clinical monitoring.
• Rapidly prototype ideas from literature and adapt to Circadia's problem domains.
• Design and run experiments with rigorous scientific methodology.
• Implement models for efficient deployment on cloud and on-device hardware.

📋 Requirements

• Master's degree in Computer Science, ML, or quantitative field.
• Ability to write production-grade, maintainable code in Python.
• Strong knowledge of deep learning frameworks (PyTorch, TensorFlow, JAX).
• Experience applying classical ML techniques to real-world problems.

✨ Nice to Have

• 3+ years of ML role with research and engineering components.
• PhD in a quantitative field.
• Experience with cloud platforms and model deployment.