Machine Learning Scientist - II (Search)

**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 all the Machine learning (ML) products that power all search, marketing, and recommendations technology 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 real\-time **Search Typeahead, Search Guidance, Query Understanding \& Interpretation, Query Refinement and Recommendations, and emerging GenAI\-powered search capabilities** . 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 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:** * 3\+ years of industry experience with a Bachelor/ Master’s degree or minimum of 1\-2 years of industry experience with PhD in Computer Science, Mathematics, Statistics, or related field. * Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, etc. * Solid understanding of algorithms for search retrieval, ranking, relevance, query understanding, NLP, or recommender systems. * Good proficiency in the Python ML ecosystem (pandas, NumPy, scikit\-learn, XGBoost, etc.). * Solid hands\-on expertise deploying machine learning solutions into production * Strong written and verbal communication skills. * Intellectual curiosity and enthusiasm about continuous learning. **Nice to have :** * Experience in e\-commerce, or online search systems. * Knowledge of modern NLP techniques (transformers, embeddings, semantic search). * Experience applying Generative AI / LLMs (e.g., GPT, LLaMA) to real\-world problems such as search, personalization, or content generation. * Experience with deep learning frameworks like PyTorch. * Familiarity with vector databases, information retrieval frameworks (e.g., Elasticsearch, Vespa) * Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow) * Experience with Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML).