Everly Health
Applied Scientist — ML, Experimentation & Decision Systems
Austin, TX
Sponsorship not specifiedDetected 138 days ago
Machine LearningA/B TestingCommunication
About the role
- We transform complex biomarker data into life-changing insights-seamlessly integrating advanced diagnostics, virtual care, and patient engagement to reshape how and where health happens.
- In 2025, an estimated 1 in 94 U.S. adults received an Everlywell test, solidifying our spot as the #1 at-home testing company in the country.
- Fueled by AI and built for scale, we're breaking down barriers, closing care gaps, and unlocking a more connected healthcare experience that is smarter, faster, and more personalized.
Responsibilities
- We're hiring an Applied Scientist to build and measure the ML systems that power these programs.
- You'll train models, evaluate performance, design A/B tests, and work with engineering and business stakeholders to improve real-world outcomes.
Requirements
- Skills & Abilities Required:
Benefits
- Everlywell is a digital health company pioneering the next generation of biomarker intelligence-combining AI-powered technology with human insight to deliver personalized, actionable health answers.
- Over the past decade, Everlywell has delivered close to 1 billion personalized health insights, transforming care for 60 million people and powering hundreds of enterprise partners.
- Everlywell operates large-scale health engagement programs that help health plan members complete important care actions - from returning diagnostic kits to accessing preventive and virtual care.
- This role is focused on machine learning, experimentation, and production measurement.
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