About the role
Research and develop machine learning models for Circadia Health's clinical monitoring platform.
- •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.
- •Key Responsibilities 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, adapting them to Circadia's problem domains and data modalities.
- •Formulate, design, run, and learn from experiments with scientific rigor, maintaining clear hypotheses, controlled comparisons, and reproducible results.
- •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.
Tech stack
PythonTensorFlowPyTorchAWSDockerKubernetes
Match insights
Tech:Python, TensorFlow, PyTorch, AWS, Docker
Level:Senior