Staff ML Engineer, Shopping Ads - Lead End-to-End ML

EngineersOfAI; Northern (KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Reddit is seeking a Staff Machine Learning Engineer for Shopping Ads to lead technical strategy and execution across targeting, retrieval, ranking, and conversion prediction. This hands-on leadership role translates business goals into an end-to-end ML roadmap and drives impact through multiple systems and teams.

You will mentor engineers, maintain high technical standards, and stay current with advances in ads optimization.

Qualifications

• 7+ years of professional software or machine learning engineering experience, including substantial experience building applied ML systems in production.
• Demonstrated experience building end-to-end models or model-driven products that improve advertising, recommendation, search, or marketplace performance.
• Experience optimizing low-funnel objectives such as conversion, purchase value, revenue, return on ad spend, or other outcome-based metrics.
• Strong hands-on experience with model development, complex feature engineering, training and evaluation pipelines, online inference, and experimentation.
• Record of delivering complex results that require multiple system components or teams to work together.
• Experience applying modern machine learning.

Responsibilities

• Lead the 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, data and label design, feature engineering, model selection, offline evaluation, online experimentation, deployment, monitoring, and iteration.
• Build and optimize models for low-funnel advertiser objectives while maintaining strong relevance, user experience, marketplace health, and measurement quality.
• Develop feature and representation strategies that connect user intent, context, product catalog signals, advertiser signals, and historical interactions across multiple models in the delivery stack.
• Apply and adapt state-of-the-art machine learning approaches to production problems, selecting architectures based on measurable benefit rather than novelty alone.
• Design systems that balance prediction quality with online latency, throughput, reliability, operational complexity, and serving cost.
• Drive complex initiatives that require coordinated changes across Shopping Ads, Catalog, Foundational Insights, ML Platform, Ads Serving, Auction, Bidding, Product, and Data Science.
• Set a high technical bar through architecture reviews, experimentation standards, production ownership, observability, and model-quality practices.
• Mentor engineers and technical leads, clarify ownership, and help the team execute effectively in ambiguous problem spaces.
• Stay current with advances in ads optimization, commerce recommendation, retrieval and ranking, representation learning, and production ML systems.

Skills

years experience

End-to-end ML models

Advertising/rec systems

Funnel optimization

Model development pipelines

Mentoring/leadership

Job description

Reddit is seeking a Staff Machine Learning Engineer for Shopping Ads to lead technical strategy and execution across targeting, retrieval, ranking, and conversion prediction. This hands-on leadership role translates business goals into an end-to-end ML roadmap and drives impact through multiple systems and teams.

You will mentor engineers, maintain high technical standards, and stay current with advances in ads optimization.