Who we are 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 machine-learning scientists for research and development of the ML systems that power our real-time Search type-ahead content recommendations and algorithmic customer understanding experience In this role you ll partner with fellow scientists engineers analysts and product managers to apply science and machine learning skills to directly impact Wayfair s revenue 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 Identify current 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 Bachelor s or Master s degree in Computer Science Mathematics Statistics or related field 6-9 years of industry experience in developing machine learning algorithms Proficiency in Python or one other high-level programming language Solid hands-on expertise deploying machine learning solutions into production Strong theoretical understanding of statistical models such as regression clustering and ML algorithms such as decision trees neural networks etc Strong written and verbal communication skills ability to synthesize conclusions for non-experts and overall bias towards simplicity Intellectual curiosity and enthusiastic 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 ML orchestration tools Airflow Kubeflow or MLFlow Experience in information retrieval query intent understanding search ranking recommender systems etc Experience with deep learning frameworks like PyTorch Tensorflow etc 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 Need Technical Assistance For more information about applying for a career at wayfair visit our FAQ page here 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