Machine Learning Scientist II - Supply Chain AI

Wayfair; Boston (MA); Hybrid; USD 176,000 - 184,250; Full time

Benefits offered by this job

Paid Holidays

Paid Time Off (PTO)

Full Health Benefits

401K Matching

Tuition Reimbursement

Employee Discount

Mental Health Support

Job summary

Wayfair is seeking a Machine Learning Engineer to develop and deploy large-scale machine learning models. In this hybrid role based in Boston, you'll conduct data analysis and work with engineering teams to optimize customer trust and operational KPIs.

Ideal candidates will have a PhD or Master's in a STEM field, with experience in Python, SQL, and machine learning frameworks. Perks include health benefits, paid time off, and 401K matching.

Qualifications

• 0-1+ years of experience or 2+ years of full-time industry experience in applied research.
• Proven track record of delivering successful machine learning projects.
• Strong problem-solving and maintenance skills.

Responsibilities

• Design, build, and deploy large-scale machine learning models.
• Conduct exploratory data analysis to uncover data patterns.
• Work cross-functionally to develop ML solutions maximizing business ROI.
• Collaborate with engineering partners.

Skills

Python

SQL

Machine learning frameworks (TensorFlow, PyTorch)

Data visualization tools

Verbal communication

Written communication

Education

PhD in STEM field

Master’s in STEM field

Tools

Docker

GCP or AWS or Azure

MLflow

Kubeflow or Airflow

Job description

Salary Range: $176,000 - $184,250 per year. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the annual base salary only and do not include equity.

Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. The Supply Chain and Retail Technology (SCRT) Science team drives growth by building end‑to‑end systems to predict delivery dates, optimize customer trust, and improve key operational KPIs.

The team works on projects such as Graph Neural Network based policy abuse detection, uplift models for customer service policy effectiveness, and Vision‑LLM for automated visual diagnostics and product refund resolution.

What You’ll Do

• Drive significant business impact by designing, building, and deploying large‑scale machine learning models that balance 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, 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, personalization.
• Hands‑on experience with LLMs.

Benefits & Perks

• Paid Holidays
• Paid Time Off (PTO)
• Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
• Life Insurance
• Disability Protection (Short Term & Long Term Disability)
• Global Wellbeing: Gym/Fitness discounts
• Mental Health Support
• Caregiver Services
• 401K Matching
• Tuition Reimbursement
• Financial Health Education (KOFE)
• Tax‑Advantaged Accounts
• Family Planning Support
• Parental Leave
• Global Surrogacy & Adoption Policy
• Rewards & Recognition
• Paid Volunteer Work
• Employee Discount
• U.S. Bluebikes Membership

This is a hybrid position based in Boston, MA. Our teams are in‑office Tuesday‑Thursday and remote on Monday and Friday.

Wayfair is fully committed to providing equal opportunities for all individuals, including those with disabilities. We 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.

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 [e-mail].