Machine Learning Scientist III

The base pay for this position is $176,000 - $187,000 per year. The base pay offered may vary depending on location, job-related knowledge, skills, and experience. Restricted stock units will be provided as part of the compensation package.

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 join the Supply Chain and Retail Tech AI org within its Service, Supply Chain and Fraud AI team.. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact.

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

• Delivery Date Prediction: Scalable Quantile Regression model that balances faster promise vs reliability (Blog)
• Graph Neural Network based Policy Abuse detection: GNN model that is robust to sophisticated identity manipulation (Blog)
• Personalization: Uplift model for predicting the effectiveness of different customer service policy
• Vision-LLM: Gen AI model for automating visual diagnostics and resolution for product refund

What You’ll Do:

• Drive significant business impact by designing, building, and deploying large-scale machine learning models balancing short- and long-term value
• Work cross-functionally with commercial stakeholders to understand business problems or opportunities, and iteratively develop ML solutions maximizing business ROI
• Collaborate closely with cross-functional engineering partners
• Mentor junior ML Scientists

We Are a Match Because You Have:

• A PhD with 3–5 years of experience, or an MSc/BSc in a STEM field (e.g., engineering, computer science, economics) with 6–8 years of industry experience.
• Proficiency in Python and Python ML ecosystem (XGBoost or equivalent, PyTorch)
• Hands-on experience deploying machine learning solutions into production.
• Strong written and verbal communication skills with an ability to influence cross-functional teams and leadership

Nice to Have:

• Familiarity with GCP (or AWS, Azure), MLOps (feature store, MLflow etc) and orchestration tools (Kubeflow, Airflow)
• Experience with containerization tools (Docker)
• Familiarity with causal inference, multi-armed bandits, personalisation
• Hands-on experience with LLMs

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

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.

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.