Machine Learning Scientist
Core
Solving scientific and applied machine learning problems using imperfect, noisy, and complex datasets to support continuous hormone monitoring.
Role type
Applied Machine Learning Scientist
Builds
Robust, reproducible analyses and models for the Hormometer® platform
Domain
Health technology / Hormone monitoring / Signal processing
Deliverable
production ML models
Required skills
Machine learning fundamentals, statistics, experimental reasoning, Python, feature engineering, model validation, error analysis, deep learning
Preferred skills
Master's or PhD in Engineering/CS/Data Science/Mathematics, 5+ years of professional experience
Technologies
Python, common ML/data science libraries
Responsibilities
Explore datasets and understand data-generating processes; Develop, evaluate, and improve ML, signal processing, and statistical models; Perform feature engineering, model selection, validation, and error analysis; Investigate production performance, diagnose failures, and identify distribution shifts; Design experiments to resolve uncertainty and guide modeling decisions; Produce clear, reproducible Python code and communicate findings to stakeholders
Seniority
Mid-Senior, hands-on IC
