WayfairAbout this role
Compensation details listed in this posting reflect the annual base salary only and do not include equity.
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. Within the broader Science Org, the Supply Chain and Retail Technology (SCRT) Science team drives growth by tackling fundamental challenges pertaining to supply chain and post-order customer experience; for example, building end-to-end systems to predict delivery dates at different points in the shopping funnel, optimizing for customer trust and key operational KPIs, while accounting for dynamic changes in the delivery network.
Some of the other key projects our team works on include:
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
We are looking for a strong Machine Learning Scientist with deep technical expertise and a proactive, action-oriented mindset. In this role, you will be instrumental in developing and refining the advanced models and systems that power our core mission. You will work in close collaboration with a highly capable, cross-functional team to tackle complex, high-impact challenges and help pioneer innovative solutions.
What You’ll Do:
Drive significant business impact by designing, building, and deploying large-scale machine learning models balancing short- and long-term value
Conduct exploratory data analysis to uncover data patterns, relationships, and key features for model training.
Work cross-functionally with product managers and commercial stakeholders to understand business problems or opportunities, and iteratively develop ML solutions maximizing business ROI
Collaborate closely with cross-functional engineering partners
Develop key success metrics and build evaluation frameworks to regularly assess model output quality
We Are a Match Because You Have:
PhD with 0-1+ years of experience or Master’s in a STEM field (Engineering, Computer Science, Data Science, Machine Learning, or a related quantitative field) with 2+ years of full-time industry experience in applied research
Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills.
Professional coding expertise in Python, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and version control best practices.
Strong written and verbal communication skills with an ability to articulate complex technical concepts to technical and non-technical audiences while collaborating within and across teams.
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
This is a hybrid position based in Boston, MA. Our teams are in-office Tuesday-Thursday and remote on Monday and Friday.Assistance for Individuals with Disabilities
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.
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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 
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Company:
Wayfair
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying