Invest in a manual or robotic pool cleaner to keep your pool's water crystal clear. A swimming pool can be a fun and valuable addition to your home and property, but maintaining it and keeping its water clean is essential. Pool cleaners and vacuums play a pivotal role in achieving this by efficiently removing debris, algae and other harmful bacteria and contaminants that can compromise water quality. This proactive approach to pool maintenance ensures a safer swimming environment, clear blue water and extends the overall lifespan of the pool and its equipment. Many pool cleaners now cater to different water types, preferences and maintenance needs.

This is a hybrid role located at Wayfair's Boston, MA or Mountain View, CA Office. Wayfair's Recommendations team provides the core platforms and services that allow our customers to discover and buy the products they love by serving the right content to every customer on every touchpoint. It also allows our suppliers to surface their products to the right customer to showcase their inventory and build their brand. The Product Recommendations team is searching for a Data Science/Machine learning scientist to join our sort optimization team. This team works on multi-objective optimizations which strike the balance of showing popular products and showcasing sponsored products or brand-aware display ads in the product search and recommendations.

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. The Search & Recommendations Machine Learning Science team is looking for an experienced Machine Learning Senior Manager to lead one of Wayfair's recommendation science teams. In this role, you'll be part of the Search & Recommendations leadership. You'll lead a team of 5 to 10 machine learning scientists and machine learning engineers, leveraging customer behavior and Wayfair's content and product data to create a tailored customer experience. We are looking for a candidate who would lead the team to build and implement personalized product recommendations, customer understanding, and personalized content targeting strategies using cutting-edge machine learning and deep learning techniques.

With a background in building enterprise platforms for organizations, including Oracle and Walmart, Wayfair CTO Fiona Tan oversees all of the technology initiatives for the Boston-based e-commerce company. As the home furnishings retailer begins to open brick-and-mortar stores, it's taking lessons learned from the digital space to inform how it markets its home products to customers in physical locations. On this episode of the Me, Myself, and AI podcast, Fiona joins Sam Ransbotham and Shervin Khodabandeh to discuss how artificial intelligence fuels nearly everything the retailer does, from ad purchasing to product pricing, and where human decision makers fit in. She also describes how AI enables Wayfair's marketing automation technology, as well as some innovative new programs underway to help customers experience the company's products virtually. Fiona Tan is the chief technology officer at Wayfair, where she oversees a global innovation team responsible for creating market-leading experiences through the home furnishings retailer's world-class e-commerce platform. Before joining Wayfair, Tan served as senior vice president of U.S. technology at Walmart, where she was responsible for innovation and engineering execution spanning its site, mobile app, and all associate and merchant-facing technology across its e-commerce business and retail stores in the United States. If you're enjoying the Me, Myself, and AI podcast, continue the conversation with us on LinkedIn. Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast. Give your feedback in this two-question survey.

The Data and Machine Learning Platforms team paves the path for any Wayfair team to make informed decisions leveraging data and ML. This team builds and maintains multiple solutions for streaming data, analytics, ML model development and training, a feature store, centralized model registry, and a scalable model deployment platform. 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.

Whether you're combing the online aisles at Wayfair to find a just-right sectional or tuning in to a Spotify playlist during a morning run, machine learning algorithms are the secret sauce making sure there's a perfect match. Wayfair, a digital-first retailer focused on the home category, and Spotify, an audio streaming media service, serve two different markets. However, both are platform-based businesses built around data and customer interactions, employing machine learning to deliver highly personalized user experiences and curated product and content recommendations. At the recent EmTech Digital conference hosted by MIT Technology Review, machine learning experts from Wayfair and Spotify gave a peek at how they leverage technology to deliver bespoke experiences that foster lasting and profitable customer relationships. At Wayfair, more than 3,000 technologists work on the platform, which connects customers with suppliers in a marketplace of more than 14 million products spanning five websites.

Wayfair held its first annual Way Day sale back in 2018 on the heels of Amazon's Prime Day event, and it's back yet again. Similarly to Prime Day, Way Day deals are exclusively available for a very limited time. Unlike Prime Day, no membership is required to shop Way Day deals. It's important to check prices before placing an order. We've done that work and listed some of the best Way Day deals below, but you can check out the entire event here.

Wayfair Data Solutions is the engine that powers an enterprise obsessed with data. We move fast, iterating quickly on big business problems. We work smart, applying technology to unlock insights and provide outsized value to our customers. We swing big, knowing our customers won't benefit from micro optimizations. Leveraging the largest data set for products sold in the Home space, this team treats data as an asset and determines how to maximize its business value and extend our competitive advantage.

Wayfair.com is a leader in the e-commerce space for all things home. Wayfair's community of Data Scientists are obsessed with using data and technology to ensure our customers can build a home that they love. Our platforms support millions of people searching every day for the perfect item, and provide a unique purchase and delivery experience. Come help us innovate and grow to our next $10B in revenue! Our Marketing Data Science team drives development of world-class ML systems that improve our customer understanding and marketing decisions.

Optimizing these capabilities for the complexity of information about our products, the breadth and diversity of our catalog, in a way that supports Wayfair's global growth, pose key challenges. Further, product substitutability is difficult and potentially costly to measure as our products are not commodity goods that are repeatedly purchased (e.g. the customer needs the perfect sofa for their living room). We build generalized, unified models in the form of rich, concise representations to address these challenges and power decision making across Wayfair. These are used as i) features for other science models predicting customer engagement with our products, ii) through scalable search systems for discovering exact or substitutes across our catalog or our competitors', and iii) validation of substitution to drive end-to-end efficiency in product sourcing, on-site recommendations, and distribution. Wayfair is one of the world's largest online destinations for the home.