Machine Learning Scientist III, Customer Technology

Location: Bangalore, India

Department: Data Science & Machine Learning

Team: Engineering & Technology

About the Role

Wayfair’s Advertising business is rapidly expanding, contributing hundreds of millions in profits through Sponsored Products, Display, and Video Ads tailored to advertiser goals while delivering relevant ads to millions of customers. The Advertising Optimization & Automation Science team plays a pivotal role by applying machine learning and generative AI to automate campaign workflows, offering actionable insights on budget allocation, target Return on Ad Spend (tROAS), and SKU selection to drive strong ROI for advertisers of all levels. As a Machine Learning Scientist III in Customer Technology, based in Bangalore, India, within the Data Science & Machine Learning department, you will develop advanced ML models to enhance Wayfair's ads platform. This role focuses on leveraging state-of-the-art techniques to optimize advertising performance, streamline operations, and support Wayfair's e-commerce ecosystem, including potential intersections with supply chain efficiency through better product visibility and sales forecasting. While the position emphasizes advertising technology, it indirectly supports Wayfair's warehouse and logistics operations by improving demand prediction and inventory turnover via optimized ad-driven sales, ensuring smoother fulfillment and operations at scale.

Key Responsibilities

• Develop machine learning models for advertising optimization and automation
• Leverage generative AI to streamline campaign workflows
• Provide recommendations on budget allocation and tROAS
• Optimize SKU selection for sponsored products
• Build systems for target Return on Ad Spend optimization
• Collaborate with engineering teams to deploy ML solutions
• Conduct experiments to improve ad relevance and ROI
• Analyze customer and advertiser data to enhance platform performance
• Evolve the ads platform using state-of-the-art ML techniques

Required Qualifications

• Advanced degree in Computer Science, Statistics, or related field
• 5+ years of experience in machine learning or data science
• Proven track record in developing ML models for optimization
• Experience with large-scale data processing and distributed systems
• Strong programming skills in Python or similar
• Knowledge of generative AI and recommendation systems
• Experience in A/B testing and experimentation
• Familiarity with advertising platforms or e-commerce metrics

Preferred Qualifications

• PhD in Machine Learning or related field
• Experience in ad tech or retail optimization
• Publications in top ML conferences
• Hands-on experience with generative AI models

Required Skills

• Machine Learning
• Generative AI
• Python
• Data Science
• Statistical Modeling
• A/B Testing
• Optimization Algorithms
• Big Data Technologies
• SQL
• Distributed Computing
• Recommendation Systems
• Experimentation Frameworks
• Advertising Metrics (ROAS, tROAS)
• Cross-functional Collaboration
• Problem-Solving

Benefits

• Competitive salary and performance bonuses
• Comprehensive health insurance coverage
• Retirement savings plan with company match
• Paid time off and flexible working hours
• Professional development and learning stipends
• Stock options and employee stock purchase program
• On-site fitness facilities and wellness programs
• Team-building events and social activities

Wayfair is an equal opportunity employer committed to diversity and inclusion.