Senior Manager - Machine Learning (Notifications)

As a Senior Manager of Machine Learning Science at Wayfair, you will play a crucial role in shaping the future of customer engagement through intelligent, timely, and personalized communication powered by scalable AI systems. Wayfair, with its data-centric culture, is on a mission to enable everyone to live in a home they love, driven by a team of over 3,000 engineers. The Customer Technology (CT) science team at Wayfair is responsible for developing and maintaining all the Machine Learning (ML) products that enhance search, marketing, and recommendation technologies. The Notifications Science team specifically focuses on building intelligent systems to optimize customer engagement across various channels such as Email, Push, and SMS. ### Role Overview: - Lead and grow a team of machine learning scientists, providing mentorship, guidance, and career development - Set the technical direction and long-term roadmap for notification send decisioning, cross-channel optimization, and personalization systems - Oversee the development of machine learning systems for notification decisioning under competing objectives, including ranking and personalization components - Drive the design of multi-objective optimization frameworks balancing short-term engagement, long-term customer value, and customer fatigue - Partner closely with product and engineering leaders to define strategy, prioritize initiatives, and deliver scalable ML solutions - Establish best practices for model development, experimentation, and evaluation, ensuring high standards of quality and rigor - Ensure successful end-to-end execution, from problem definition and modeling to experimentation and production deployment - Influence and align with the broader ML leadership community at Wayfair on best practices, standards, and cross-team initiatives - Maintain a strong customer-centric perspective in how problems are framed and solved ### Qualification Required: - Bachelors or Masters degree in Computer Science, Mathematics, Statistics or a related field - 10+ years of experience building large-scale machine learning systems - 1-2 years of experience managing or mentoring machine learning scientists - Strong experience in owning ML-driven products or platforms, ideally in ranking, recommendations, ads, or notification systems - Proven ability to define and execute on technical roadmaps in cross-functional environments - Strong theoretical understanding and practical experience applying statistical models and ML algorithms at scale - Proficiency in Python and ML frameworks such as TensorFlow or PyTorch - Strong communication and stakeholder management skills, with the ability to influence across teams This role as a Senior Manager of Machine Learning Science at Wayfair offers a unique opportunity to lead a team of scientists in developing ML systems that drive customer engagement and notification platforms. Your contributions will be instrumental in defining the technical vision and roadmap for Wayfairs notifications ML stack, ultimately delivering high-impact solutions at scale. As a Senior Manager of Machine Learning Science at Wayfair, you will play a crucial role in shaping the future of customer engagement through intelligent, timely, and personalized communication powered by scalable AI systems. Wayfair, with its data-centric culture, is on a mission to enable everyone to live in a home they love, driven by a team of over 3,000 engineers. The Customer Technology (CT) science team at Wayfair is responsible for developing and maintaining all the Machine Learning (ML) products that enhance search, marketing, and recommendation technologies. The Notifications Science team specifically focuses on building intelligent systems to optimize customer engagement across various channels such as Email, Push, and SMS. ### Role Overview: - Lead and grow a team of machine learning scientists, providing mentorship, guidance, and career development - Set the technical direction and long-term roadmap for notification send decisioning, cross-channel optimization, and personalization systems - Oversee the development of machine learning systems for notification decisioning under competing objectives, including ranking and personalization components - Drive the design of multi-objective optimization frameworks balancing short-term engagement, long-term customer value, and customer fatigue - Partner closely with product and engineering leaders to define strategy, prioritize initiatives, and deliver scalable ML solutions - Establish best practices for model development, experimentation, and evaluation, ensuring high standards of quality and rigor - Ensure successful end-to-end execution, from problem definition and modeling to experimentation and production deployment - Influence and align with the broader ML leadership community at Wayfair on best practices, standards, and cross-team initiatives - Maintain a strong customer-centric perspective in how problems are