Senior Machine Learning Scientist, Supplier Advertising Science

at  Wayfair

Candidates for this position are preferred to be based in Seattle, WA and will be expected to comply with their team’s hybrid work schedule requirements.

WHO WE ARE:

Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this Wayfair builds and leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. Wayfair’s Search, Marketing, and Recommendations ML teams build algorithmic systems that drive our business, enhance customer experience, and improve customer loyalty powering what our customers see on and off our site at web scale. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact.
We are looking for an experienced machine learning scientist to join the Supplier Advertising ML Science team. In this role, you will be responsible for the development of our smart bidding platform (e.g. tROAS), targeting enhancements, smart campaigns, bid recommendations and other ML capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems at Wayfair.

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.
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

• Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support bidding and other optimizations.
• Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience.
• Build robust monitoring, alerting, and edge-case handling mechanisms.
• Collaborate closely and align with both our Ads and Search & Recommendations Product and Engineering partners to drive the integration of our smart bidding platform with the existing infrastructure and platforms at Wayfair.
• Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.
• Work cross-functionally with commercial stakeholders, engineers, analysts, and product managers to understand business problems or opportunities and develop appropriately scoped ML solutions
• Promote a culture of machine learning and ML science excellence by participating in weekly research, learning, and development sharing sessions.