Wayfair

Machine Learning Scientist III - Ads + Search & Recommendations

Seattle, WA, US$194,040-$206,167Posted 18 days ago

Job Description

#### Salary Range: $194,040 - $206,167 per year. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the annual base salary only and do not include equity.

Who We Are

The Ads + Search and Recommendations Machine Learning (ML) team at Wayfair is at the forefront of designing and implementing algorithms that define our global search experience. Using cutting-edge machine learning approaches, including deep sequence models, embeddings and multi-modal technologies, we aim to deliver a personalized and compelling experience for over 22 million active customers. Our mission is to make the user experience intuitive and efficient, helping customers discover exactly what they need in a vast and diverse product catalog.

Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques.

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. You will join the Customer Technology - Search & Recommendations org within its Advertising Footprint and Ranking team working on Candidate Generation and Retrieval Systems. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact.

Here are some of the key projects our team works on

* Candidate Generation/Retr

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