Member of Technical Staff ML Engineer Recommendations and User Modeling

You will own personalization and ranking for key product surfaces. You will build user models, design decision systems, develop data and evaluation foundations, and shape the technical direction for recommendations, ranking, and personalization.

Responsibilities

• Own personalization and ranking for key product surfaces
• Build user models for intent, preference, and propensity
• Design decision layers that balance competing objectives
• Build data and evaluation foundations for continual learning
• Shape the technical direction for ranking, recommendations, and personalization

Requirements

• Production recommendation, ranking, or personalization systems at scale
• Machine learning
• Engagement modeling
• Model calibration
• Offline metrics
• Online metrics
• Online experimentation
• LLM integration in ranking, retrieval, or personalization pipelines

Benefits

• Equity
• Health insurance
• Dental insurance
• Vision insurance
• Retirement benefits
• Fitness account
• Commuter account
• Dependent care account