Senior Manager of Machine Learning (Search and Recommendations)

April 18

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Wayfair

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Wayfair is the destination for all things home: helping everyone, anywhere create their feeling of home$1. .$1

E-Commerce • Technology • Online Retail • Internet Marketing • Software Engineering

14172 - 14172

💰 $1.3G Post-IPO Debt on 2020-08

Description

• Take on technical leadership for the whole search and recs ML strategy for Wayfair both in the US and globally. • Provide technical leadership for Wayfair's search and recommendations ML strategy, both in the US and globally. • Lead the development of cutting-edge multi-modal search and recommendation experiences designed to delight and engage our customers throughout their shopping journey, from inspiration to purchase and delivery. • Develop a holistic strategy to evolve and power diverse product experiences using scalable and reusable cloud-based technology. • Mentor and grow teams dedicated to delivering these at-scale experiences. • Create a vision for and develop and improve the end-to-end shopping journey across all customer touchpoints. • Design and implement at-scale ranking systems (retrieval, relevance, whole slate optimization) using a combination of web-scale customer behavioral data and our rich catalog of product information, directly powering substantial top and bottom-line growth. • Promote a healthy ecosystem for all sides in the marketplace, from customers to suppliers, to promote sustainable growth and help overcome challenging marketplace problems: supply and demand matching, balancing diversity and exploration, and helping new products accelerate while overcoming cold-start problems. • Develop extensible, reusable, and at-scale capabilities that can abstract across problem spaces.

Requirements

• 7+ years of industry experience in one or more of the following: Search, NLP, Ranking, Ads, Recommender systems, and Machine Learning. • Strong technical skills: Advanced usage and hands-on ability with Python and/or Java for ML problems, experience with technical workflow serving tools, including all stages of batch and real-time workflows. • Advanced statistical and quantitative knowledge and modeling techniques, including experimental design, statistical inference, hypothesis testing, and optimization. • Experience managing large-scale ML projects, including roadmap creation, execution, and delivery. • Ability to work with high-level business stakeholders, synthesize conclusions for non-experts, and influence business decisions at the Director+ level. • Strong track record of publishing in world-leading ML forums (e.g., NeurIPS) is a plus. • Experience leveraging cloud-native tech, GCP, and Vertex is a plus. • Team management experience is a significant plus.

Benefits

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