Principal Applied ML Engineer
Job Summary
You will lead the data and applied ML work behind Perifits AI strategy. Your scope will cover data foundations churn and retention models sensor model improvement and the first building blocks of future AI-powered personalization. You will turn ambiguous business and product questions into clear datasets metrics models and production-ready systems.
Concretely you will define the right data events cohorts and labels; build pragmatic models that can improve retention and adherence; help improve our sensor models with real-world usage data; and make sure models can be deployed monitored and maintained in production including through APIs backend services or local inference in the mobile app when relevant.
This is a highly cross-functional role. You will work closely with:
Product to translate data insights into user-facing features
Software to integrate models into production systems
Research to connect ML work with biomechanical and symptom data
OBS and Data Engineering to structure the datasets pipelines and operational insights needed to understand users and improve retention
Required Experience:
Staff IC
About Company
Perifit is the health technology brand for all womankind. From pelvic floors to breastfeeding, and beyond, we’re here to help.