Engineering Manager- Machine Learning

Who We Are

Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3000 Wayfair engineers and a datacentric 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 machinelearning to lead the research and development of the ML systems that power our realtime Search typeahead 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 Wayfairs 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 Youll Do

• Lead the development of machine learning algorithms in Wayfairs predictive search/typeahead content recommendations and algorithmic customer understanding teams.
• Design and drive forward the technical roadmap and architecture plans for multiple teams of ML scientists and machinelearning 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 nextgeneration 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 Wayfairs broader ML community

What Youll Need

• Bachelors or Masters degree in Computer Science Data Science or a related field.
• 915 years of industry experience serving as a lead IC on production ML systems.
• Track record of building scalable customerfacing machine learning products that work in realtime with low latency and drive tangible and material business results.
• Deep familiarity with suggest/typeahead 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 antipatterns 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 RD 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 .

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About Wayfair Inc.
Wayfair is one of the worlds 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 were reinventing the way people shop for their homes. Through our commitment to industryleading technology and creative problemsolving we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth constant learning and dynamic challenges then youll find that amazing career opportunities are knocking.

No matter who you are Wayfair is a place you can call home. Were a community of innovators risktakers and trailblazers who celebrate our differences and know that our unique perspectives make us stronger smarter and wellpositioned 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. Thats why were 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.

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