Job Description

Who We Are:

Wayfair is one of the worlds largest online destinations for home goods. To deliver an exceptional customer experience at scale, we rely heavily on machine learning and AI systems that power everything from delivery date prediction to multi-modal systems for visual diagnostics to agentic workflow automation.

As an ML Engineer within the Supply Chain and Retail Tech AI org, youll be at the forefront of transforming Wayfair Supply Chain and Support operations by developing robust, reliable and production-grade ML and AI systems. You will work closely with ML scientists to launch highly impactful and scalable ML models leveraging modern MLOps best practice and tools. You will drive significant business impact by designing and building complex Multi-modal and Agentic AI systems that are revolutionizing the way the industry operates.

Here are some of the key projects our team works on:

• Vision-LLM: Gen AI model for automating visual diagnostics and resolution for product refund
• Customer Service Co-Pilot and Agentic workflow automation: Blog
• Delivery Date Prediction: Scalable Quantile Regression model that balances faster promise vs reliability: Blog
• Personalization: Uplift model for predicting the effectiveness of different customer service policy

What Youll Do:

• Build and own ML production systems for both real-time and batch inference, ensuring scalability, reliability, observability, and low latency.
• Lead ML service integration with partner systems by establishing ownership boundaries, API contracts, clear SLAs, and fallback mechanisms
• Architect and build complex multi-modal and Agentic AI systems by leveraging the latest advancement in LLM
• Collaborate with ML Scientists to build reusable and scalable production-grade training code and pipelines using modern MLOps practices and infrastructure (GCP and open source)

We Are a Match Because You Have:

• Bachelors or Masters degree in Computer Science, Software Engineering, or a related technical field or equivalent practical experience
• 5+ years of relevant industry experience, preferably including previous experience in ML infrastructure or AI/ML engineering
• Strong programming skills in Python and experience with production-quality codebases
• Experience with cloud platforms (preferably GCP), containerization (Docker), orchestration (Kubernetes), and CI/CD workflows. Familiarity with monitoring and observability tools (e.g., Datadog).
• Able to work autonomously in cross-functional teams, communicate clearly with ML scientists and software engineers, and balance engineering quality with business impact. Comfortable leading technical discussions and driving alignment without formal authority.

Nice to Have:

• Proven experience deploying and integrating ML/AI models into production systems
• Familiarity with MLOps and AIOps practices and tools (e.g. data pipeline, model orchestration, feature store)
• Experience building RAG and agentic AI systems

Why You will Love Working With Us

• Fun team outings like kayaking the Charles and Boda Borg,
• Early adopters of new technology within Wayfair
• Hackathons to explore new ideas

Why You will Love Working With Us

• Fun team outings like kayaking the Charles and Boda Borg,
• Early adopters of new technology within Wayfair
• Hackathons to explore new ideas
• Time Off:
• Paid Holidays
• Paid Time Off (PTO)
• Health & Wellness:
• Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
• Life Insurance
• Disability Protection (Short Term & Long Term Disability)
• Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
• Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
• Caregiver Services
• Financial Growth & Security:
• 401K Matching (Employee Matching Program)
• Tuition Reimbursement
• Financial Health Education (Knowledge of Financial Education - KOFE)
• Tax Advantaged Accounts
• Family Support:
• Family Planning Support
• Parental Leave
• Global Surrogacy & Adoption Policy
• Professional Development & Recognition:
• Rewards & Recognition
• Global Employee Anniversary Awards
• Paid Volunteer Work
• Unique Perks:
• Employee Discount
• U.S. Bluebikes Membership
• Global Pod Outings
• Work/Life Balance:
• Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments

Candidates for this position are to be based, or plan to relocate to Boston, and will be expected to comply with their team's hybrid work schedule requirements. Our teams are onsite in our Boston office Tuesday-Thursday, and remote Monday and Friday.

Massachusetts Applicants : I understand that it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Wayfair Inc.

Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, were reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. Were a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair and world for all. Every voice, every perspective matters. Thats why were proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at [email protected] .

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