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 Search, Marketing, and Recommendations technology science team (SMART) builds and owns all the Machine learning (ML) products that power all search, marketing, and recommendations technology across Wayfair. Our algorithms tackle a varied & 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.

 

We are looking for an experienced machine-learning to lead the research and development of the ML systems that power our real-time Search type-ahead, content recommendations, and algorithmic customer understanding experience. In this role, you are accountable for the technical roadmap and plan to pursue innovative ideas to build the next generation of Wayfair’s ML stack across multiple teams. You will collaborate closely with the engineering, analytics, and product leads within our SMART team to define the technical vision and work with your leadership to build the organization and culture required to execute on it. This role is a cornerstone of the Search, Marketing, and Recommendations Technology (SMART) organization, with broad visibility and close communication with leaders across the business up to Executive level.

 

What You’ll Do

• Lead the development of machine learning algorithms in Wayfair’s predictive search/type-ahead, content recommendations, and algorithmic customer understanding teams.
• Design and drive forward the technical roadmap and architecture plans for multiple teams of ML scientists and machine-learning engineers.
• Develop technical leadership within the team and continuously upskill the team while modeling a culture of continuous research and innovation.
• Collaborate closely with the product and engineering leaders in our SMART technologies group to build a next-generation search and recommendations stack and the organization required to maintain and innovate on it
• Contribute as a senior leader beyond the SMART group, in particular within Wayfair’s broader ML community

 

What You’ll Need

• Bachelor's or Master’s degree in Computer Science, Data Science, or a related field.
• 9-15 years of industry experience serving as a lead IC on production ML systems.
• Track record of building scalable customer-facing machine learning products that work in real-time with low latency and drive tangible and material business results.
• Deep familiarity with suggest/type-ahead systems, search and ranking, and content recommendations as well as experience building scalable applications around technology such as Spark/Python/Airflow/GCP or AWS and Java.
• Strong grasp of architectural patterns and anti-patterns in scalable ML systems.
• Ability to laterally influence partners to shape technical roadmaps and the organizations required to drive them
• Track record of leading technical R+D on cutting edge search or recommendation systems
• Intellectual curiosity and a desire to always be learning!
• Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow), ML monitoring tools (Arize etc), Retraining best practices etc.

 

Nice to have

• PhD in Computer Science, Data Science or related field
• Familiarity with Generative AI and their usage in improving search and recommender systems. 

 

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.

Need Assistance?

For more information about applying for a career at Wayfair, visit our FAQ page here. 

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 Berlin, 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.

We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: https://www.wayfair.com/careers/privacy). If you have any questions regarding our processing of your personal data, please contact us at dataprotectionofficer@wayfair.com. If you would rather not have us retain your data please contact us anytime at dataprotectionofficer@wayfair.com.