Machine Learning Manager
1 month ago
Who We Are
Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. The Search, Marketing, and Recommendations technology science team (SMART) builds and owns all the Machine learning (ML) products that power all search, marketing, and recommendations technology across Wayfair. 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, to driving marketing experiences customers love all at web scale.
We are looking for an experienced machine-learning manager and technical lead to lead the research and development of the ML systems that power our real-time Search type-ahead, content recommendations, and algorithmic customer understanding experience teams. In this role, you are accountable for the technical roadmap, team build out, and plan to pursue innovative ideas to build the next generation of Wayfair’s ML stack for one of these teams. You will collaborate closely with the engineering, analytics, and product leads within our SMART team to define the technical vision and work with your leadership to build the organization and team required to execute on it. This role is a cornerstone of the Search, Marketing, and Recommendations Technology (SMART) organization, with broad visibility and close communication with leaders across the business up to Executive level.
What You’ll Do
- Lead the development of machine learning algorithms in Wayfair’s predictive search/type-ahead, content recommendations, or algorithmic customer understanding teams.
- 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 upskill the team while modeling a culture of continuous research and innovation.
- Collaborate closely with the product and engineering leaders in our SMART technologies group to build a next-generation search and recommendations stack and the organization required to maintain and innovate on it
- Contribute as a senior leader beyond the SMART group, in particular within Wayfair’s broader ML 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 4+ 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 suggest/type-ahead systems, 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)
Assistance for Individuals with Disabilities
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.
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