Who We Are:

Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this Wayfair builds and leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact.

The Machine Learning Science team within Wayfair’s Supply Chain & Retail Tech organization is focused on building intelligent, scalable systems that optimize the customer journey, uplevel customer experience, and streamline operational efficiency across our service and logistics ecosystem.

Our work touches millions of customers and thousands of support and fulfillment associates every day. We develop models that personalize customer service, detect and prevent fraud, and apply computer vision to automate everything from customer issue resolution to warehouse quality control. These systems are deeply embedded in real-time business processes and drive measurable value for both our customers and Wayfair’s bottom line.

We are seeking a Machine Learning Science Manager to lead a high-performing team of ML scientists. In this role, you’ll drive the scientific strategy, coach and develop your team, and play a key role in shaping the multi-year ML roadmap—working cross-functionally to define priorities, align on vision, and turn complex problems into production-ready solutions.

To get a better sense of the type of projects we actually work on, check out our Data Science & Machine Learning blog posts here!

Please note: This role is based in Boston and hybrid. Wayfair requires employees to be in office Tuesday-Thursday, with remote on Monday and Fridays. 

What You'll Do

• Lead and mentor a team of Machine Learning Scientists working across a portfolio of projects, including:
• Service Personalization: Build real-time models that enable tailored customer service experiences via dynamic routing, predictive eligibility, and refund abuse prevention
• Computer Vision: Use CV techniques to interpret customer-uploaded images, automate damage detection, and improve fulfillment operations.
• Define and drive the team’s scientific and strategic direction, contributing to the multi-year roadmap in partnership with cross-functional stakeholders
• Translate ambiguous, high-impact business challenges into clearly scoped ML initiatives with measurable goals and aligned timelines
• Balance near-term delivery with long-term innovation, ensuring the team is focused, resourced, and aligned with evolving business needs
• Collaborate cross-functionally to integrate ML systems into core business operations, ensuring scalability and business impact
• Foster a collaborative, growth-oriented team culture, supporting professional development and technical mentorship
  
  

What You'll Need

• 7+ years of experience in applied Machine Learning with 2+ years in a people leadership or technical lead role
• Proven experience building and deploying ML systems across a range of domains (especially in tabular data, computer vision, or NLP) in production environments.
• Proficiency in Python, SQL, and industry-standard ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow), MLOps platform
• Strong track record of developing ML solutions from ideation through delivery
• Strong communication and stakeholder management skills; able to translate technical work into strategic decisions.

It's a bonus to have:

• Experience in customer service, logistics, or e-commerce domains
• Familiarity and interest in GenAI or foundation models
  
  
  

Why You'll Love Wayfair: 

• 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

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 world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re 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 you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re 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. That’s why we’re 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 (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.