Job Description

Job Title: Machine Learning Manager, Advertising Optimization & Automation ScienceWho We AreWayfair's Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques.The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions.We are seeking an experienced Machine Learning Manager to lead a growing team focused on building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. In this role, you will have the opportunity to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. xe2x80x8bWorking closely with a high-performing team of ML scientists and engineers, you'll tackle some of Wayfair's most intellectually challenging problems in machine learning, latency, and scalability, while directly contributing to the company's bottom line.What You'll do

• Own the strategy, roadmap, and execution of supplier advertising intelligence and automation solutions. Lead the next phase of GenAI-powered creative optimization, ML-based recommendation systems, and campaign automation to drive significant incremental ad revenue and improve supplier outcomes.
• Build, coach, and manage a team of ML scientists focused on developing intelligent budget, tROAS, and SKU recommendations, creative testing frameworks, and simulation-driven decisioning that extends beyond the current platform capabilities.
• Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows.
• Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization.
• Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning.
• Act as SME and provide mentorship and technical guidance beyond own team on the broader DS/Eng org when needed

What You'll need

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
• 9+ years of industry experience, with at least 1-2 years experience as a manager of teams and 5+ serving as an IC on production ML systems.
• Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization
• Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication
• Ability to partner cross-functionally to own and shape technical roadmaps and the organizations required to drive them.
• Proficient in one or more programming languages, e.g. Python, Golang, Rust etc.

Nice to have

• Experience with GCP, Airflow, and containerization (Docker)
• Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.
• Familiarity with Generative AI and agentic workflows
• Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning

About Wayfair Inc.Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking.No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.Your personal data is processed in accordance with our Candidate Privacy Notice ( ). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at .

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