Applied Scientist — ML, Experimentation & Decision Systems
everlywell· Engineering
About this role
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. 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.
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. 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.
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.
We’re hiring an Applied Scientist to build and measure the ML systems that power these programs. This role is focused on machine learning, experimentation, and production measurement. You’ll train models, evaluate performance, design A/B tests, and work with engineering and business stakeholders to improve real-world outcomes.
This is a high-impact opportunity to apply ML and experimentation skills to systems that influence real member outcomes at scale. You’ll work on practical, production-facing problems with clear business value, strong cross-functional visibility, and room to help shape how Everlywell uses both ML and AI in operational workflows.If you’re excited by hands-on modeling, rigorous experimentation, and building systems that improve decisions in the real world, we’d love to hear from you.
Frequently Asked Questions
Is the salary disclosed for the Applied Scientist — ML, Experimentation & Decision Systems position at everlywell?
The salary for this Applied Scientist — ML, Experimentation & Decision Systems role at everlywell is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Applied Scientist — ML, Experimentation & Decision Systems position at everlywell located?
This Applied Scientist — ML, Experimentation & Decision Systems role at everlywell is based in Austin, TX. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Applied Scientist — ML, Experimentation & Decision Systems role at everlywell full-time or part-time?
This is listed as a Full Time position. It is posted as a Applied Scientist — ML, Experimentation & Decision Systems role in the Engineering department at everlywell.
Which team or department does the Applied Scientist — ML, Experimentation & Decision Systems at everlywell belong to?
This Applied Scientist — ML, Experimentation & Decision Systems position is part of the Engineering department at everlywell. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Applied Scientist — ML, Experimentation & Decision Systems position at everlywell?
Click the "Apply Now" button on this page. You will be redirected to everlywell's official application portal hosted on lever where you can submit your application directly.
When was the Applied Scientist — ML, Experimentation & Decision Systems job at everlywell posted?
This Applied Scientist — ML, Experimentation & Decision Systems position at everlywell was posted on Mar 6, 2026. Apply as soon as possible — early applications are often reviewed first.
Applied Scientist — ML, Experimentation & Decision Systems
everlywell
You'll be redirected to everlywell's official application page on Lever.