Wayfair’s Search and Recommendations team provides the core platforms and services that allow our customers to discover & buy the products they love. Our systems leverage Wayfair’s extensive customer and product data to deliver trusted and valuable recommendations in real-time using custom machine learning models.
The Content Recommendations team provides centralized services for recommending the best content and sales event recommendations to our customers in real-time, across touch-points based on Wayfair’s machine learning models. The team’s mission is to build channel-agnostic content recommendations capabilities. At present, content recommendations are served at scale to both personalized and default customers primarily on the email channel using both RL and ML techniques, enabling brand awareness and conversion. Currently, content recs accounts for 31% (26% Event Recs + 5% Banner Recs) of total email GRS.
We’re looking for a staff engineer to join our highly impactful & autonomous team to help us build our next-generation Recommendations platform. This Staff Engineer will help lead the team efforts and is responsible for high standards of our engineering solutions that meet company objectives.
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 content 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 designing and developing scalable distributed systems with deep understanding of object oriented design, modern program languages, and design patterns.
- 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.
- Experience 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.
About Wayfair Inc.
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.
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.