About Wearlinq

We're a fast growing healthcare spin-off from Stanford, with a base in San Francisco / Singapore and employees worldwide building an integrated ecosystem of hardware, software, and services to make disease prevention personal and intelligent. We’ve launched an FDA-cleared 6-channel EKG wearable with software and services suite for arrhythmia diagnosis and stroke prevention - with an exciting pipeline of new solutions.

About You

We're looking for a Lead AI Engineer to drive the development of our AI suite, starting with detection of potentially life-threatening arrhythmias. This is a rare opportunity to take full ownership of the AI pipeline, from signal ingestion to real-world clinical impact, and shape a product that directly improves and saves lives. If you're inherently curious, passionate about solving hard technical problems that matter, and want your work to have measurable outcomes in healthcare, we’d love to meet you.

Qualifications

• 5+ years developing and deploying AI/ML models
• We value engineers who rapidly learn new physiological signals and clinical concepts. Prior EKG (preferable), PPG, SCG, EEG or EMG experience is a plus—but not a requirement if you can show how you’ve mastered unfamiliar data domains before.