Job description
Role overview
Eli Health is developing Hormometer™, the first instant hormone monitoring platform that delivers results from saliva to mobile app. As a Machine Learning Engineer, you'll design and deploy models for hormone data analysis to enable real-time health insights.
The role requires collaboration with R&D teams to refine algorithms, optimize model performance, and integrate solutions into the company's health tech platform. You'll work on a product with over 2,000 iterations and patent-pending innovations.
Responsibilities
- Design and implement machine learning models for hormone pattern analysis
- Collaborate with R&D teams to validate and refine algorithmic approaches
- Deploy models into production using cloud-based infrastructure
Requirements
- 2+ years of ML model development experience in Python
- Strong statistical analysis and data visualization skills
- Experience with TensorFlow/PyTorch frameworks
Benefits
- Health insurance and wellness benefits
- Remote-friendly work environment
- Professional development stipend
Keywords
Pythonmachine learningTensorFlowdata analysisbiomarker trackingmodel deploymenthealth techalgorithm developmentpredictive modelingdata science