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Wayfair Senior Software Engineer, Personalized Product Recommendations in Boston, Massachusetts

<p><span style="font-weight: 400;">The Personalized Product Recommendation team builds services and platforms that allow our customers to discover &amp; buy the products they love. We do this by leveraging Wayfair’s extensive customer and product data to deliver trusted and valuable recommendations in real-time using custom machine learning models. We productionalize these ML models as microservices and build data pipelines necessary for inference and model training.&nbsp;</span></p>

<p><span style="font-weight: 400;">Our service is used across storefront and marketing channels and is called over a billion times a day. Some of the important placements where our service is being used are Superbrowse, PDP, Hot deals, Home page, Batch email, Retargeting, etc. Our service needs to support both the real time customer traffic and batch email jobs which presents unique challenges in scalability, throughput and response times.&nbsp;</span></p>

<p><span style="font-weight: 400;">We’re looking for an experienced senior engineer to join our team and help us build and accomplish multiple high visibility initiatives. The first initiative is Adaptive sort platform with the goal to provide a reliable platform that helps create configurable recommendation solutions that address business goals and objectives to improve CLV(Customer Lifetime Value) and profitability. The second one is to improve our personalization algorithms to include style and other customer preferences. And third is a technology transformation from our python based service to the newly re-architected Java based service.</span></p>

<p><strong>What you’ll do:</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Work with a broader highly collaborative cross-functional team that includes product managers, data scientists, and analysts.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Work with a variety of technologies, including Java, Python, Hadoop, Spark, Kafka, Aerospike, Airflow, RESTful web services, gRPC, Kubernetes, and GCP.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Build platforms and services that allow us to make realtime ML powered decisions.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Deliver direct measurable results for our business and customers through improved product recommendations and search results.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Mentor junior engineers to develop the next generation of Wayfair engineering</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Provide high quality code and technical design reviews</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Contribute to the code base, with a mind to best practices and an equally high degree of autonomy</span></li>

</ul>

<p><strong>What you’ll need:</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">A graduate of a computer science, mathematics, engineering, physical science related degree program with 5+ years of relevant industry experience, OR have 7+ years of relevant industry experience&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">4+ years of Java or Python experience experience or 5+ years experience in other OOP-based programming languages&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience building high performance, scalable and fault-tolerant Java applications preferred&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with Service-Oriented architecture (REST &amp; GraphQL) and ability to architect scalable microservices&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience using Docker, Kubernetes or other containerization technologies is a plus&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Ability to maintain a stable application infrastructure with appropriate metrics, logging and CI/CD pipelines&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with streaming technologies like Spark, Kafka, etc are a plus&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">A continuous drive to explore, enhance, automate and optimize distributed systems</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Ability to work creatively and problem solve independently&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Comfortable working in a collaborative, fast-paced and dynamic work environment&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with large-scale data processing and design of distributed systems is a plus.</span></li>

</ul><div class="content-conclusion"><p><strong>About Wayfair Inc.</strong></p>

<p>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.</p>

<p>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, or genetic information.</p></div>

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