The Personalized Product Recommendation team builds services and platforms that allow our customers to discover & buy the products they love. Just last year alone our team has contributed to hundreds of millions in incremental revenue. 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. 

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. 

We’re looking for an experienced staff engineer to join our team to help drive our multiple high visible 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. 

What You'll Do

• Provide technical leadership to a focused team of 5 - 10 engineers
• Work with a broader highly collaborative cross-functional team that includes product managers, data scientists, and analysts.
• Own the technical vision for your workstream.
• Work with a variety of technologies, including Java, Python, Hive, Spark, Kafka, Aerospike, Airflow, RESTful web services, gRPC, Kubernetes, and GCP.
• Build platforms and services that allow us to make realtime ML powered decisions.
• Deliver direct measurable results for our business and customers through improved product recommendations and search results.

What You'll Need

• A Bachelor’s Degree in Computer Science, Data Science, or a related engineering discipline
• At least 7 years of experience in a senior engineer or technical lead role.
• Experience developing and designing scalable distributed systems with deep understanding of architectural and design patterns, object oriented design, modern program languages.
• Excellent communication skills and ability to work effectively with engineers, product managers, data scientists, analysts and business stakeholders.
• Passion for mentoring and leading peer engineers.
• Designing and developing recommendation systems and productionalizing ML models for real time decisions, large-scale data processing and event-driven systems and technologies is a plus