Machine Learning Scientist I - Customer Technology

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, you’ll partner with fellow scientists, engineers, analysts, and product managers to apply machine learning skills to directly impact Wayfair’s revenue.

What you’ll do

Design, build, deploy and refine large-scale machine learning/AI models and algorithmic decision-making systems that solve real-world problems for customers

Work cross-functionally with engineers, analysts, product managers and commercial stakeholders to understand business problems, opportunities and develop appropriately scoped ML solutions

Collaborate 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 services

Build cutting edge robust ML models and systems that directly impact our customers every day

Identify 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

This is an introductory position meant to help you start your career in Machine learning and AI.

What you’ll need

Master’s or a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field with 1-2 years of industry experience.

Proficiency in Python or one other high-level programming language.

A strong theoretical understanding and solid hands-on experience working with machine learning algorithms.

Classical ML and deep learning techniques across NLP, sequence modeling, RL, Recommendation systems, clustering, and time series.

Experience with Python ML ecosystem (numpy, sklearn, pytorch, XGBoost, etc.)

Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity and efficiency

Intellectual curiosity and enthusiasm about continuous learning

Nice to have

Designing end-to-end ML solutions from prototype to production.

Experience in deploying ML workflows/models in production system

Building or experimenting with LLMs, retrieval systems, generative models, and agentic AI workflows

Familiarity 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 Docker

Clear track record of publishing or work related projects showing ability to develop cutting edge AI systems.

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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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 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.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.