Jobs and Careers

Senior Machine Learning Scientist, Supplier Advertisting Science

United Statesfull_timeVerifiedPosted 17 May 2024

About the role

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 leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. Wayfair’s Search, Marketing, and Recommendations ML teams build algorithmic systems that drive our business, enhance customer experience, and improve customer loyalty powering what our customers see on and off our site at web scale. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact.

We are looking for an experienced machine learning scientist to join the Supplier Advertising ML Science team. In this role, you will be responsible for the development of our smart bidding platform (e.g. tROAS), targeting enhancements, smart campaigns, bid recommendations and other ML capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems at Wayfair.

What You’ll Do:

Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support bidding and other optimizations.
Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience.
Build robust monitoring, alerting, and edge-case handling mechanisms.
Collaborate closely and align with both our Ads and Search & Recommendations Product and Engineering partners to drive the integration of our smart bidding platform with the existing infrastructure and platforms at Wayfair.
Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.
Work cross-functionally with commercial stakeholders, engineers, analysts, and product managers to understand business problems or opportunities and develop appropriately scoped ML solutions
Promote a culture of machine learning and ML science excellence by participating in weekly research, learning, and development sharing sessions.

What You’ll Need:

Advanced degree (Master or PhD) in Machine Learning, Computer Science, Engineering, Statistics, or a related quantitative field.
3+ years (with PhD) or 5+ years (non-PhD) of experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale.
Strong theoretical understanding and solid hands-on expertise deploying ML-based decision-making systems into production.
Familiarity with ML model development frameworks, ML orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL.

Nice to Have:

Experience in computational advertising, bidding algorithms, or search ranking
Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks).

Why You’ll Love Wayfair:

Time Off:

Paid Holidays
Paid Time Off (PTO)

Health & Wellness:

Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
Life Insurance
DIsability Protection (Short Term & Long Term DIsability)
Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
Caregiver Services