Position Summary
We’re one of the world’s leading apps for health monitoring — with 16 million downloads across 130 countries. We bring together biometrics, science, AI, and design to help people better understand their health and overall well-being.
Why this matters:
Our algorithmic competitors are Garmin, Whoop, Apple, Google, and Samsung. But their users come to us — because our algorithms do a better job helping people manage stress, fight fatigue, and take care of their health.
The challenge we’re solving:
- We’re device agnostic — our algorithms are designed to work equally well on any device.
- Unlike our competitors, we don’t have access to raw data.
- That’s why we have to come up with unconventional solutions — and be smart and inventive.
What this role is about:
We’re looking for someone to help adapt our existing algorithms for new platforms and devices. The results of your work will be directly visible to users — in the interface. And that directly impacts how people take care of their health.
What We’re Looking For
- You have a strong track record working with human data — ideally in biostatistics or analyzing physiological and behavioral time-series data.
- You’re confident in Python, familiar with the data science & ML ecosystem, and know how to write clean, maintainable code. You’re not afraid to dive into legacy code, rewrite it from scratch when needed, and back it up with solid tests.
- You can write algorithmic code and debug implementation inconsistencies — for instance, when the Swift version outputs one distribution and the Kotlin version another, you’ll know how to dig into it and fix it.
- You're comfortable working across platforms, programming languages, and systems.
- You’re fluent in AI tools and know how to use different models and solutions to optimize and speed up your work. That’s a must — we work with diverse data and need to build algorithms for various platforms.
- Your English is good enough to work with documentation and tools in English without issues.
What You’ll Be Working On