Software Engineer II, Machine Learning

Location: Boston, Massachusetts, United States

Department: Full Stack Engineering

Team: Engineering & Technology

About the Role

The Catalog Algo Engineering team at Wayfair drives growth by tackling product data quality and catalog intelligence challenges at massive scale. They develop features like visual search, personalized recommendations, filter-driven product tagging, dimension accuracy checks, AI-generated review summaries, and product image classification. Additionally, the team automates supplier onboarding using validation tools and agentic GenAI workflows. By harnessing Generative AI, multi-modal models, and smart data pipelines, they convert merchandising strategies into precise, consistent, enriched product data, minimizing manual work and enhancing the shopping experience. This Software Engineer II role focuses on building these scalable ML systems to support Wayfair's logistics and operations in product catalog management. While primarily engineering-focused, it indirectly optimizes warehouse and fulfillment efficiency through superior data accuracy for inventory and supply chain operations. The position is based in Boston, MA, within the Full Stack Engineering department.

Key Responsibilities

• Develop and maintain ML models for product tagging and classification
• Build intelligent data pipelines for catalog intelligence
• Implement visual search and personalized recommendation features
• Create AI-generated review summaries and dimension accuracy checks
• Streamline supplier onboarding with automated validation workflows
• Leverage GenAI to enrich product data and reduce manual effort
• Collaborate with merchandising and engineering teams
• Optimize systems for scale in product data quality

Required Qualifications

• Bachelor's degree in Computer Science or related field
• 3+ years of software engineering experience
• Strong proficiency in Python or Java
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Solid understanding of data pipelines and ETL processes
• Experience working with large-scale datasets
• Familiarity with cloud platforms (e.g., AWS, GCP)

Preferred Qualifications

• Experience with Generative AI and multi-modal models
• Background in e-commerce or catalog management systems
• Knowledge of agentic AI workflows
• Master's degree in Machine Learning or AI

Required Skills

• Python
• Machine Learning
• Generative AI
• Multi-modal models
• Data pipelines
• ETL processes
• Cloud computing (AWS/GCP)
• SQL
• TensorFlow/PyTorch
• Visual search algorithms
• Product classification
• Problem-solving
• Collaboration
• Scalability optimization
• E-commerce domain knowledge

Benefits

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• 401(k) matching and retirement savings plan
• Flexible remote and hybrid work options
• Generous paid time off and parental leave
• Professional development stipend and tuition reimbursement
• Employee discounts on Wayfair products

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