Machine learning Scientist II - Customer Tech

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 customersWork cross-functionally with engineers, analysts, product managers and commercial stakeholders to understand business problems, opportunities and develop appropriately scoped ML solutionsCollaborate 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 servicesBuild cutting edge robust ML models and systems that directly impact our customers every dayIdentify 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 You’ll Need

Bachelor's degree with 4-5 years of experience or Master’s degree with 3-4 years of experience in Computer Science, Mathematics, Statistics, or related fieldProficiency 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 efficiencyIntellectual 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 systemBuilding 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 DockerClear 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.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

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.