Wayfair
Website:
wayfair.com
Job details:
As a Senior ML Scientist 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 all search, marketing, and recommendations 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 & diverse assortment of home goods, to driving marketing experiences customers love all 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.
We are looking for an experienced ML scientist to lead the research and development 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 building the next generation of Wayfair’s ML stack for notifications, including 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 define technical direction and deliver scalable, high-impact solutions. This role is a key contributor within the CT Science organization, with visibility across marketing, product, and platform teams.
What You’ll Do
- Drive the development of ML systems for notification send decisioning, including ranking and personalization components
- Build and improve systems that optimize cross-channel customer engagement (Email, Push, SMS), balancing revenue, engagement, and customer fatigue
- Develop multi-objective optimization frameworks to drive long-term customer value while minimizing unsubscribe and disengagement risk
- Continually improve the team’s ability to build efficient and scalable ML models by leveraging industry best practices and maintaining high standards of model quality and robustness
- Collaborate closely with product and engineering partners to build and evolve Wayfair’s next-generation notification and customer engagement stack
- Design and iterate on decisioning systems under competing objectives using experimentation and data-driven optimization
- Contribute as a senior individual contributor within the CT Science group and the broader ML community at Wayfair
- 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.
- 9+ years of experience in building large-scale ML algorithms
- 4+ years of demonstrated experience owning and delivering end-to-end ML systems or providing technical leadership on complex ML problems
- Strong theoretical understanding and practical experience applying statistical models (e.g., regression, clustering) and ML algorithms (e.g., decision trees, neural networks, transformers, NLP techniques) at scale.
- Experience working on ranking, recommendation, ads, or notification systems
- Proficiency in programming languages such as Python or R, and ML libraries such as TensorFlow or PyTorch, to develop production-grade systems.
- Ability to partner cross-functionally to own and shape technical roadmaps
- Intellectual curiosity and a strong desire to continuously learn!
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
- Familiarity 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)
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 dataprotectionofficer@wayfair.com.
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