Staff Machine Learning Engineer, Shopping Ads

📋 Description

• Lead the ML strategy and architecture for Shopping Ads delivery across targeting, retrieval
• Own end-to-end model development from opportunity sizing, data design, feature engineering, model
• Build and optimize models for low-funnel advertiser objectives while maintaining relevance and user
• Develop feature representations that connect user intent, context, signals, and historical
• Apply state-of-the-art ML approaches to production problems and choose architectures based on
• Design systems balancing prediction quality with online latency, throughput, reliability, and cost.

🎯 Requirements

• 7+ years of professional software or ML engineering experience with production ML systems.
• Experience building end-to-end models or model-driven products improving advertising
• Experience optimizing low-funnel objectives (e.g., conversion, revenue) and online experimentation
• Hands-on model development, feature engineering, training/evaluation pipelines, online inference
• Proven ability to drive architecture, ownership, and cross-functional collaboration at scale.
• Strong written/verbal communication and mentoring skills with a long-term vision for Shopping Ads

🎁 Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs for workspace, development, and caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits