Staff Machine Learning Engineer, Shopping Ads

Experteer Overview As Staff ML Engineer for Shopping Ads, you will steer the technical strategy and end-to-end ML delivery across targeting, retrieval, ranking and conversion models to improve advertiser outcomes. You’ll collaborate with cross-functional teams to align business goals with scalable ML systems, shape feature representations, and ensure delivery quality and efficiency. This role offers hands-on leadership in production ML, with impact on large-scale ads experiences and marketplace health. Compensation / Benefits * Lead ML strategy and architecture for Shopping Ads delivery across targeting, retrieval, ranking, engagement, conversion and value optimization * Own end-to-end model development from opportunity sizing to online deployment and monitoring * Build and optimize models for low-funnel advertiser objectives while maintaining relevance and user experience * Develop feature representations connecting user intent, context, catalog signals, advertiser signals, and history * Apply state-of-the-art ML approaches to production problems and choose architectures based on measurable benefit * Design systems balancing prediction quality with latency, throughput, reliability, and cost * Drive cross-team initiatives across Shopping Ads, Catalog, ML Platform, and more * Mentor engineers and technical leads, clarifying ownership and guiding execution in ambiguity * Stay current with advances in ads optimization, commerce recommendation, and production ML systems Tasks * 7+ years of professional software or ML engineering experience with production ML systems * Experience building end-to-end models or model-driven products that improve advertising, recommendation, search, or marketplace performance * Experience optimizing low-funnel metrics such as conversion, revenue, or ROAS * Hands-on experience with model development, feature engineering, pipelines, online inference, and experimentation * Proven track record delivering complex results requiring multiple systems or teams * Experience applying modern ML models in production with measurable improvements * Proven technical leadership: setting direction, architecture, mentoring, and cross-functional influence * Strong understanding of large-scale, high-throughput, low-latency ML systems and trade-offs * Excellent communication and collaboration skills with ability to align teams on long-term vision Key requirements * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave * Family Planning Support * Mental Health & Coaching Benefits

• Apply state-of-the-art ML approaches to production problems and choose architectures based on measurable benefit * Design systems balancing prediction quality with latency, throughput, reliability, and cost * Drive cross-team initiatives across Shopping Ads, Catalog, ML Platform, and more * Mentor engineers and technical leads, clarifying ownership and guiding execution in ambiguity * Stay current with advances in ads optimization, commerce recommendation, and production ML systems Tasks * 7+ years of professional software or ML engineering experience with production ML systems * Experience building end-to-end models or model-driven products that improve advertising, recommendation, search, or marketplace performance * Experience optimizing low-funnel metrics such as conversion, revenue, or ROAS * Hands-on experience with model development, feature engineering, pipelines, online inference, and experimentation * Proven track record delivering complex results requiring multiple systems or teams * Experience applying modern ML models in production with measurable improvements * Proven technical leadership: setting direction, architecture, mentoring, and cross-functional influence * Strong understanding of large-scale, high-throughput, low-latency ML systems and trade-offs * Excellent communication and collaboration skills with ability to align teams on long-term vision Key requirements * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave * Family Planning Support * Mental Health & Coaching Benefits