Principal Machine Learning Engineer

About iFIT

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.

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 data access, compliance, and security requirements without slowing delivery
• Raise ML fluency across R&D — mentor engineers, contribute to hiring, and serve as the internal authority on ranking and personalization

Compensation

$185,000 - $205,000