Principal Machine Learning Engineer

iFIT ’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey. We are currently seeking an ambitious pace-setter to join our team as a Principal Machine Learning Engineer remotely in the US. iFIT is looking for a technically exceptional and strategic Principal Machine Learning Engineer to own the recommendation and search personalization strategy across our product surfaces. In this role, you will design and build end-to-end ML systems, drive relevance and ranking improvements through rigorous experimentation, and partner with Product and Engineering to translate model behavior into meaningful product outcomes that keep our members engaged and progressing on their fitness journeys. COMPENSATION $185,000 - $205,000 ROLE COMMITMENTS Own and drive the recommendation and search personalization strategy across all product surfaces Build end-to-end ML systems — data pipelines, feature engineering, model training, and production serving — that scale with the platform Drive relevance improvements through rigorous experimentation, ensuring model gains translate to measurable user outcomes Build a scalable, privacy-first ML architecture that addresses da