Software Engineer II, Search & Recs

Location: Boston, Massachusetts, United States

Department: Full Stack Engineering

Team: Engineering & Technology

About the Role

Wayfair is revolutionizing home shopping with an extensive selection of furniture, decor, and housewares, providing seamless personalized experiences for millions worldwide. The Search and Recommendations team drives the personalization strategy through cutting-edge AI models and large-scale systems handling over a billion daily calls, directly impacting hundreds of millions in revenue. This Software Engineer II role in Full Stack Engineering, based in Boston, Massachusetts, focuses on warehouse and logistics optimization by powering product discovery and recommendations that streamline inventory visibility and customer purchasing decisions. As an independent contributor, you will develop resilient, high-throughput systems ensuring operational excellence in logistics-adjacent search functionalities, enhancing supply chain efficiency through precise product matching and recommendations. Responsibilities emphasize code quality, maintainability, and scalability to support Wayfair's global operations, ultimately contributing to faster fulfillment and reduced logistics costs via intelligent personalization at scale.

Key Responsibilities

• Develop and apply cutting-edge AI models for product discovery
• Build large-scale, high-throughput systems processing over a billion calls daily
• Ensure code quality, maintainability, and operational resilience
• Contribute independently to the Search and Recommendations platform
• Enhance personalization to drive customer purchases
• Optimize systems for seamless customer experience
• Collaborate with the Full Stack Engineering team
• Impact hundreds of millions in revenue through exceptional search functionality
• Maintain platform reliability for millions of worldwide customers

Required Qualifications

• Bachelor's degree in Computer Science or related field
• 3+ years of software engineering experience
• Proficiency in full stack development
• Experience with AI models and large-scale systems
• Strong focus on code quality and maintainability
• Ability to work independently as a contributor
• Knowledge of high-throughput systems handling billions of calls
• Understanding of operational resilience in production environments

Preferred Qualifications

• Experience in search and recommendation systems
• Background in personalization strategies for e-commerce
• Familiarity with Wayfair's tech stack
• Prior work on revenue-impacting platforms

Required Skills

• Full stack engineering
• AI model development
• Large-scale system design
• High-throughput processing
• Code quality assurance
• Maintainability best practices
• Operational resilience
• Search algorithms
• Recommendation systems
• Personalization strategies
• Independent problem-solving
• E-commerce platform experience
• Production system optimization
• Customer experience focus
• Scalability expertise

Benefits

• Competitive salary and comprehensive health benefits
• Flexible work arrangements in Boston, MA
• Professional development opportunities in AI and large-scale systems
• Impactful role revolutionizing home shopping experiences
• Work on high-revenue generating platforms
• Collaborative environment in Full Stack Engineering
• Global reach serving millions of customers
• Commitment to innovation in personalization technology

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