Senior ML Engineer, Personalization & Ranking (Remote US)

iFIT; United States; À distance; USD 185 000 - 205 000; Plein temps

Résumé du poste

iFIT seeks 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, drive relevance improvements through rigorous experimentation, and collaborate with Product and Engineering to translate model behavior into meaningful product outcomes that keep our members engaged.

We offer a remote role in the United States with compensation ranging from $185,000 to $205,000 annually.

Qualifications

• Experience building production-scale recommendation and/or search systems.
• Strong ML fundamentals in ranking, retrieval, feature engineering and model deployment.
• Ability to connect model improvements to measurable outcomes via experiments.
• Strong software engineering for reliable pipelines and services.
• Clear communication with Product and Engineering partners.
• Authorized to work in the United States without sponsorship.

Responsabilités

• Own the recommendation and search personalization strategy across product surfaces.
• Design end-to-end ML systems for ranking, retrieval and personalization, including pipelines and production serving.
• Drive relevance improvements through rigorous evaluation and experimentation.
• Collaborate with Product and Engineering to translate model behavior into product outcomes.
• Ensure privacy-first architecture addressing data access, privacy and security requirements.

Connaissances

Recommendation systems

Search systems

Ranking concepts

Feature engineering

Model training

Production deployment

Distributed systems

Outils

Data pipelines

Description du poste

iFIT seeks 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, drive relevance improvements through rigorous experimentation, and collaborate with Product and Engineering to translate model behavior into meaningful product outcomes that keep our members engaged.

We offer a remote role in the United States with compensation ranging from $185,000 to $205,000 annually.