Machine Learning Scientist II, Advertising Optimization & Automation

About Wayfair

Wayfair is moving the world so that anyone can live in a home they love. Over 3,000 engineers drive a data-centric culture to power search, marketing, and recommendations technology for a vast assortment of home goods.

Role Overview: Machine Learning Scientist II, Advertising Optimization & Automation

In this role, you will design, build, deploy, and refine large-scale machine learning models and algorithmic decision-making systems. Collaborate with scientists, engineers, analysts, and product managers to address real-world challenges and directly impact Wayfair’s revenue.

Responsibilities

• Develop and refine machine learning models for search, recommendations, and query understanding.
• Collaborate with commercial and cross-functional teams on analytical solutions.
• Deploy scalable ML solutions and follow best practices in production environments.
• Identify opportunities for model improvements and project ROI.
• Maintain a customer-centric approach in all problem-solving activities.

Required Qualifications

• 3+ years industry experience with a Bachelor’s/Master’s or 1-2 years with a PhD in a related field.
• Strong understanding of statistical models, regression, clustering, decision trees, neural networks, etc.
• Proficiency in Python ML ecosystem (pandas, NumPy, scikit-learn, XGBoost, etc.).
• Experience with production-deployed machine learning solutions.
• Excellent communication skills and intellectual curiosity.

Preferred Skills

• Experience in e-commerce or online search systems.
• Knowledge of modern NLP techniques and generative AI applications.
• Experience with deep learning frameworks like PyTorch and infrastructure tools.

Work Location & Schedule

This position is based in Bangalore, India with a hybrid work schedule requirement.

Key skills/competency

Machine Learning, Python, NLP, Search Ranking, Algorithms, Production Deployment, E-commerce, Statistical Models, Automation, Data Analysis