Remote Senior ML Engineer, Personalization & Search

iFit; United States; Remote; USD 185,000 - 205,000; Full time

Job summary

iFIT is seeking a Principal Machine Learning Engineer to own the recommendation and search personalization strategy across our product surfaces. You will design and build end-to-end ML systems, develop data pipelines, feature engineering, and production serving, and drive relevance improvements through rigorous experimentation.

You will mentor engineers, collaborate with Product and Engineering, and help translate model behavior into tangible product outcomes that keep members engaged on their

Qualifications

• Demonstrated experience building recommendation and/or search systems that operate in production at scale.
• Strong ML engineering fundamentals including ranking and retrieval concepts, feature engineering

Responsibilities

• Own the recommendation and search personalization strategy across product surfaces.
• Design and build end-to-end ML systems for ranking, retrieval, and personalization.
• Drive relevance and ranking improvements through rigorous evaluation and experimentation.
• Partner with Product and Engineering to translate model behavior into product outcomes, collaborate on integration.
• Collaborate with Data and Security to ensure safe, scalable personalization architecture.

Skills

data pipelines

feature engineering

ranking and retrieval

ML engineering fundamentals

Job description

iFIT is seeking a Principal Machine Learning Engineer to own the recommendation and search personalization strategy across our product surfaces. You will design and build end-to-end ML systems, develop data pipelines, feature engineering, and production serving, and drive relevance improvements through rigorous experimentation.

You will mentor engineers, collaborate with Product and Engineering, and help translate model behavior into tangible product outcomes that keep members engaged on their