Senior Machine Learning Researcher

As a machine-learning scientist at Wayfair, you will be part of the Customer Technology team responsible for building and owning machine learning products that drive search, marketing, and recommendations technology. Your role will involve designing, building, deploying, and refining large-scale machine learning models to solve real-world problems for customers. You will collaborate with various stakeholders and engineering teams to ensure the adoption of best practices in building and deploying scalable ML services. Key Responsibilities: - Design, build, deploy, and refine large-scale machine learning models and algorithmic decision-making systems - Work cross-functionally with commercial stakeholders to understand business problems and develop analytical solutions - Collaborate with engineering, infrastructure, and ML platform teams to ensure best practices in building and deploying ML services - Identify new opportunities and insights from data for model improvement and ROI projection - Maintain a customer-centric approach in problem-solving and decision-making processes Qualifications Required: - 3+ years of industry experience with a Bachelor/Masters degree or 1-2 years of industry experience with a PhD in Computer Science, Mathematics, Statistics, or related field - Strong theoretical understanding of statistical models and ML algorithms - Proficiency in Python ML ecosystem (pandas, NumPy, scikit-learn, XGBoost) - Hands-on experience deploying ML solutions into production - Strong written and verbal communication skills - Intellectual curiosity and enthusiasm for continuous learning Additional Details: Experience in e-commerce or online search systems is a plus Knowledge of modern NLP techniques and deep learning frameworks is beneficial Familiarity with GCP, ML model development frameworks, and ML orchestration tools is advantageous Experience with Apache Spark Ecosystem is a bonus As a machine-learning scientist at Wayfair, you will be part of the Customer Technology team responsible for building and owning machine learning products that drive search, marketing, and recommendations technology. Your role will involve designing, building, deploying, and refining large-scale machine learning models to solve real-world problems for customers. You will collaborate with various stakeholders and engineering teams to ensure the adoption of best practices in building and deploying scalable ML services. Key Responsibilities: - Design, build, deploy, and refine large-scale machine learning models and algorithmic decision-making systems - Work cross-functionally with commercial stakeholders to understand business problems and develop analytical solutions - Collaborate with engineering, infrastructure, and ML platform teams to ensure best practices in building and deploying ML services - Identify new opportunities and insights from data for model improvement and ROI projection - Maintain a customer-centric approach in problem-solving and decision-making processes Qualifications Required: - 3+ years of industry experience with a Bachelor/Masters degree or 1-2 years of industry experience with a PhD in Computer Science, Mathematics, Statistics, or related field - Strong theoretical understanding of statistical models and ML algorithms - Proficiency in Python ML ecosystem (pandas, NumPy, scikit-learn, XGBoost) - Hands-on experience deploying ML solutions into production - Strong written and verbal communication skills - Intellectual curiosity and enthusiasm for continuous learning Additional Details: Experience in e-commerce or online search systems is a plus Knowledge of modern NLP techniques and deep learning frameworks is beneficial Familiarity with GCP, ML model development frameworks, and ML orchestration tools is advantageous Experience with Apache Spark Ecosystem is a bonus