Machine Learning Scientist
Core
Develop and validate machine learning algorithms for analyzing large-scale ECG and biosignal data to enhance diagnostic capabilities and improve patient outcomes.
Role type
Senior Machine Learning Scientist (Medical Devices)
Builds
Next-generation algorithms for wearable and connected health technologies
Domain
Digital Health / Cardiac Monitoring / Biosignal Processing
Deliverable
production ML models
Required skills
Machine learning, deep learning, statistical modeling, time-series analysis, large-scale self-supervised learning, multimodal foundation models, representation learning, generative AI, PyTorch, TensorFlow, Python, SQL, cloud platforms (AWS/Azure/GCP), distributed multi-node compute
Preferred skills
Experience developing algorithms for safety-critical systems in regulated industries (medical devices, healthcare, aerospace, automotive, robotics)
Technologies
PyTorch, TensorFlow, Python, numpy, scikit-learn, pandas, scipy, SQL, AWS, Azure, GCP
Responsibilities
Design, develop, validate, and optimize ML algorithms for biosignal data; Contribute to the development and evolution of the ML platform and infrastructure; Partner with data scientists, software engineers, and clinical experts to translate research into production-quality algorithms; Communicate technical findings to stakeholders and external audiences through publications and conference presentations
Seniority
Senior, hands-on IC
