Machine Learning Manager, Advertising Science

Wayfair - Boston, MA

Full-time - Mid Level

Boston, MA

Furniture, Home Furnishings, Electronics, and Appliance Retailers

About the position

The Machine Learning Manager for Advertising Science at Wayfair will lead a newly-formed team focused on developing intelligent ML-based bidding systems for the company's Sponsored Products advertising business. This role involves building capabilities that unlock significant commercial value and directly contribute to Wayfair's bottom line. The manager will collaborate with engineers and scientists to address complex machine learning challenges and enhance advertising strategies.

Responsibilities

• Lead the Intelligent Bidding pod within the Advertising Science Machine Learning group.
• Hire, develop, and coach a talented team of ML scientists.
• Partner with cross-functional teams to develop a science strategy and roadmap for Supplier Ads bidding systems.
• Design, build, deploy, and refine large-scale platforms that improve supplier experience and ad spend.
• Build robust monitoring, alerting, and edge-case handling mechanisms.
• Collaborate with science and engineering teams to integrate the smart bidding platform with existing systems.
• Research new developments in advertising and incorporate them into internal systems.

Requirements

• 6+ years of experience in building advanced machine learning models.
• 2+ years in a lead/manager role.
• Strong theoretical grasp of machine learning concepts and hands-on expertise in deploying ML systems.
• Experience with data-driven opportunity sizing and iterative building.
• Comfortable making complex decisions and using goal-setting frameworks.
• Proven track record of coaching and mentoring junior ML scientists and engineers.
• Experience translating business objectives into ML models/systems.
• Strong written and verbal communication skills.

Nice-to-haves

• Experience building intelligent bidding and/or advertising systems for eCommerce.
• Experience with online learning, reinforcement learning, or ML-based control systems.

Benefits

• Rapid growth opportunities
• Dynamic challenges
• Commitment to diversity and inclusion
• Equal opportunity employer