As a Senior Manager of Machine Learning Science at Wayfair, you'll shape the future of how millions of customers are engaged through intelligent, timely, and personalized communication powered by scalable AI systems.
Who We Are
Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. The Customer Technology (CT) science team builds and owns all the Machine Learning (ML) products that power search, marketing, and recommendation technologies across Wayfair. Our algorithms tackle a broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast and diverse assortment of home goods, to driving marketing experiences customers love at web scale.
Within this, the
Notifications Science team focuses on building intelligent systems that optimize how and when we engage with customers across channels such as Email, Push, and SMS. These systems balance short-term engagement with long-term customer value, enabling personalized, relevant, and timely communication at scale.
About The Role
We are looking for an experienced machine learning leader to drive the research, development, and execution of ML systems that power Wayfair's customer engagement and notification platforms. This includes send decisioning, cross-channel optimization, and personalized content selection.
In this role, you will be responsible for defining the technical vision and roadmap for Wayfair's notifications ML stack and leading a team of scientists to deliver high-impact solutions at scale. You will oversee systems that determine which customers to contact, when to contact them, through which channel, and with what content. You will collaborate closely with engineering, analytics, and product partners within CT to align on priorities, execute against roadmaps, and scale impact. This role is a key leadership position within the CT Science organization, with visibility across marketing, product, and platform teams.
What You'll Do
- 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
What You'll Need
- Bachelor's or Master's 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
Nice to Have
- PhD in Computer Science, Mathematics, Statistics or related field
- Experience with marketing technology, customer engagement platforms, or send optimization systems
- Familiarity with multi-objective optimization, causal inference, or experimentation frameworks
- Experience with Generative AI and its applications in personalization or content generation
- Experience with cloud platforms (GCP, AWS, Azure) and ML orchestration tools (Airflow, Kubeflow, MLflow) and agentic workflows
Assistance For Individuals With Disabilities
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.
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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 (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at [Confidential Information].
