Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this, Wayfair builds and operates cutting-edge machine learning and AI systems at massive scale. Our Search and Recommendations ML teams develop algorithmic systems that drive business performance, enhance customer experience, and build long-term customer loyalty. These systems power what customers see both on and off the Wayfair platform and address a broad spectrum of challenges across the marketplace—from helping suppliers efficiently add products to our catalog, to enabling customers to discover and purchase from a vast and diverse assortment of home goods, all at web scale. You will be part of a highly collaborative, cross-functional environment building ML systems with real-world impact.
We are seeking an experienced machine learning manager to lead the research and development of the ML systems that power Wayfair’s personalized customer experiences, including product recommendations and search. In this role, you will be accountable for defining and executing the technical roadmap, building and scaling high-performing ML teams, and pursuing innovative ideas that shape the next generation of Wayfair’s ML stack. You will work closely with engineering, analytics, and product leadership within the Customer Technology organization to define technical vision and translate it into execution. This role is a cornerstone of the Search and Recommendations organization, with broad visibility and close collaboration with business and technology leaders up to the executive level.
What You’ll Do
Lead the development of machine learning algorithms in Wayfair’s algorithmic customer understanding, content and product recommendations for powering personalization.
Grow and manage a team of ML scientists and machine-learning engineers.
Own the forward looking roadmap and executional plan for a team and be accountable for the team plan to achieve this ambitious roadmap.
Develop technical leadership within the team and continuously up-skill the team while modelling a culture of continuous research and innovation.
Collaborate closely with the product and engineering leaders in our Customer Technology group to build a next-generation personalisation stack for search and recommendations and the organization required to maintain and innovate on it
Contribute as a senior leader beyond the Customer Technology group, in particular within Wayfair’s broader ML science community
What You’ll Need
Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field.
10+ years of industry experience, with at least 1-2 years experience as a manager of teams and 7+ serving as an IC on production ML systems.
Track record of leading teams and building scalable customer-facing machine learning products that work in real-time with low latency and drive tangible and material business results.
Deep familiarity with search and ranking, or content recommendations as well as experience building scalable applications around technology such as Spark/Python/Airflow/GCP or AWS and Java.
Ability to partner cross-functionally to own and shape technical roadmaps and the organizations required to drive them.
Intellectual curiosity and a desire to always be learning!
Nice to have
PhD in Computer Science, Data Science or related field
Familiarity with Generative AI and their usage in improving search and recommender systems.
Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow)
ATS Match is available
1) Upload your resume. 2) Open any job and click Check ATS Match to see your fit score.