Machine Learning Scientist

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 the development of world-class ML systems that drive real-world impact.What You’ll Do:Design, build, deploy, and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers.Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions.Collaborate closely with various engineering, infrastructure, and ML platform teams to ensure adoption of best practices in how we build and deploy scalable ML services.Build robust monitoring, alerting, and edge-case handling mechanisms.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.We Are a Match Because You Have:Minimum 0-1 years of experience with a PhD or 3+ years of industry experience with MSc/BaSc in STEM (engineering, computer science, economics, etc.).Proficiency in Python or one other high-level programming language.A strong theoretical understanding and solid hands-on expertise deploying machine learning solutions into production.Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and an overall bias towards simplicity.Intellectual curiosity and enthusiasm about continuous learning.Nice to Have:Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML).Familiarity with GCP (or AWS, Azure), ML model development frameworks, and ML orchestration tools (Airflow, Kubeflow, or MLFlow).Experience with Spark, Kubernetes, Docker is a plus.Why You'll Love Wayfair:Time Off:Paid HolidaysPaid Time Off (PTO)Health & Wellness:Full Health Benefits (Medical, Dental, Vision, HSA/FSA)Life InsuranceDisability 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 ServicesFinancial Growth & Security:401K Matching (Employee Matching Program)Tuition ReimbursementFinancial Health Education (Knowledge of Financial Education - KOFE)Tax Advantaged AccountsFamily Support:Family Planning SupportParental LeaveGlobal Surrogacy & Adoption PolicyProfessional Development & Recognition:Rewards & RecognitionGlobal Employee Anniversary AwardsPaid Volunteer WorkUnique Perks:Employee DiscountU.S. Bluebikes MembershipGlobal Pod OutingsWork/Life Balance:Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments.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 Berlin, 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.

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