Machine Learning Scientist I

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 Customer Technology (CT) team builds and owns machine learning products that power search, marketing, personalization, and recommendations 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 machine-learning scientists for research and development of the ML systems that power our Customer understanding and personalization systems - Customer embeddings, Recommendation systems, user interest prediction, generative recommendation systems, short term and long term customer preference identification. In this role, youll partner with fellow scientists, engineers, analysts, and product managers to apply machine learning skills to directly impact Wayfairs revenue

.
What youll

• doDesign, build, deploy and refine large-scale machine learning/AI models and algorithmic decision-making systems that solve real-world problems for custome
• rsWork cross-functionally with engineers, analysts, product managers and commercial stakeholders to understand business problems, opportunities and develop appropriately scoped ML solutio
• nsCollaborate closely with various infrastructure, and ML platform teams to develop production grade services that follow best-practices in how we build and deploy scalable ML servic
• esBuild cutting edge robust ML models and systems that directly impact our customers every d
• ayIdentify new opportunities and insights from the data (where can the models be improved what is the projected ROI of a proposed modification
• )Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work

on
What youll n

• eedMasters or a Bachelors degree in Computer Science, Mathematics, Statistics, or related field with 1-2 years of industry experien
• ce.Proficiency in Python or one other high-level programming langua
• ge.A strong theoretical understanding and solid hands-on experience working with machine learning algorith
• ms.Classical ML and deep learning techniques across NLP, sequence modeling, RL, Recommendation systems, clustering, and time seri
• es.Experience with Python ML ecosystem (numpy, sklearn, pytorch, XGBoost, et
• c.)Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity and efficie
• ncyIntellectual curiosity and enthusiasm about continuous learn

ing
Nice to

• haveDesigning end-to-end ML solutions from prototype to product
• ion.Experience in deploying ML workflows/models in production sy
• stemBuilding or experimenting with LLMs, retrieval systems, generative models, and agentic AI workf
• lowsFamiliarity with cloud based compute approaches GCP (or AWS, Azure), ML model development frameworks, and ML orchestration tools (Airflow, Kubeflow, VertexAI,
• etc)Experience with Kubernetes and Do
• ckerClear track record of publishing or work related projects showing ability to develop cutting edge AI syst