Senior Machine Learning Scientist - Personalization

About the role

Senior applied science role building a real-time personalization engine across ranking, recommendations, retrieval, and foundation-model personalization; requires 8+ years professional ML experience.

Requirements

• Bachelor's in computer science or related field, or equivalent professional experience
• 8+ years relevant professional experience
• Ownership of ML solutions through model development, evaluation, and operationalization
• Strong ML, statistics, experimentation, coding, and production deployment
• Cross-functional delivery and scalable model development

What you'll do

• Build scalable personalization, recommendation, ranking, and retrieval models
• Lead end-to-end ML work from problem formulation through evaluation and iteration
• Integrate models into production services and workflows
• Improve model reliability and operational quality
• Mentor colleagues and influence technical direction

Where this was posted

• LinkedIn

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