Machine Learning Manager, Wayfair

• 6+ years of experience (ideally 2+ years in a lead/manager role) building advanced machine learning models that solve real-world problems
• Strong theoretical grasp of machine learning concepts combined with hands-on expertise in deploying web-scale ML-based decision-making systems into production
• A hands-on, technical manager who can engage deeply with both core algorithm development and system design/architecture
• Experience with data-driven opportunity sizing, prioritization, and a bias towards building iteratively and learning as you go
• Comfortable making complex decisions (even in the face of ambiguity), making pragmatic trade-offs, and using goal-setting frameworks (e.g., OKRs)
• Proven track record of coaching and mentoring junior ML scientists and engineers — ranging from fresh PhD graduates to experienced ML scientists
• Experience working with commercial stakeholders to translate business objectives into appropriately scoped ML models/systems, ensuring alignment between commercial and ML objectives
• Strong written and verbal communication skills with the ability to influence senior stakeholders and steer strategy based on data-driven recommendations and analysis
• Familiarity with ML model development frameworks, orchestration, and pipelines, with experience in Airflow, Kubeflow, or MLFlow, as well as Spark, Kubernetes, Docker, Python, and SQL

Desirable

• We are looking for an experienced ML Manager to lead a newly-formed team focused on building intelligent ML-based bidding systems (e.g. tROAS, dynamic bidding, smart campaigns) for Wayfair’s “Sponsored Products” advertising business
• You will have the opportunity to develop 0-to-1 capabilities that unlock significant commercial value and contribute directly to Wayfair’s bottom line
• You will partner closely with talented engineers and scientists to tackle some of Wayfair’s most intellectually challenging machine learning, latency, and scalability problems
• Wayfair's SMART (Search, Marketing, and Recommendations Technology) team is at the forefront of shaping how millions of customers discover and engage with products
• We leverage cutting-edge machine learning, artificial intelligence, and data-driven strategies to deliver personalized shopping experiences
• As a member of our SMART team, you'll be responsible for designing, implementing, and optimizing systems that enhance search capabilities, develop highly relevant product recommendations, and drive innovative marketing solutions
• Lead the Intelligent Bidding pod within the Advertising Science Machine Learning group, responsible for building 0-to-1 intelligent bidding capabilities (e.g., target ROAS, dynamic bidding) for Wayfair’s advertising platform
• Hire, develop, and coach a talented team of ML scientists to build scalable ML decision-making systems that directly contribute to Wayfair’s bottom line
• Partner closely with cross-functional teams across engineering, science, analytics, and product to develop a science strategy and roadmap for Supplier Ads bidding systems
• Design, build, deploy, and refine extensible, reusable, large-scale platforms that improve supplier experience, ROAS, and ad spend on Wayfair’s Sponsored Products
• Build robust monitoring, alerting, and edge-case handling mechanisms
• Collaborate with multiple science and engineering teams to drive the robust integration of our smart bidding platform with existing infrastructure and systems
• Research new developments in advertising, sorting, recommendations, and open-source packages, incorporating them into our internal systems