Machine Learning Scientist II - Ads Science

Wayfair; Boston (MA); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Employee Discount

Gym/Fitness discounts

Paid Holidays

Paid Time Off (PTO)

Health Benefits (Medical/Dental/Vision

Life Insurance

Disability Protection

401K Matching

Tuition Reimbursement

Parental Leave

Global Surrogacy & Adoption Policy

Job summary

Wayfair is seeking a Machine Learning Scientist II in Boston for a hybrid role. You will design, build, deploy and refine large-scale ML models that power search, recommendations and advertising.

You will collaborate with engineering, infra, and ML platform teams to ensure scalable services and monitor performance. The role emphasizes customer-centric problem solving and data‑driven ROI insights.

Qualifications

• 0-1 years with PhD or 3+ years with MSc/BaSc in STEM.
• Proficiency in Python or another high‑level language.
• Strong theoretical understanding and production deployment experience.
• Excellent written and verbal communication; clear for non-experts.
• Curiosity and commitment to continuous learning.

Responsibilities

• Design, build, deploy and refine large-scale ML models and decision systems.
• Collaborate with engineering, infra, and ML platform teams to ensure scalable services.
• Develop robust monitoring and alerting for deployed models.
• Identify opportunities and ROI from data insights.
• Maintain customer-centric approach in problem framing and solutions.

Skills

Python programming

ML deployment in production

Strong communication

Curiosity/learning mindset

Cross-functional collaboration

Education

PhD in STEM

MSc/BaSc in STEM

Tools

Python ML ecosystem

Apache Spark ecosystem

GCP/AWS/Azure

Job description

• Parental Leave

By applying to this position, your application is automatically considered for the range of Machine Learning Scientist II roles we have at Wayfair. This includes Search, Recommendations, and Advertising. If we think you might be a fit, a recruiter will reach out to learn more about your background and discuss relevant positions in more detail.

Candidates for this position are to be based, or plan to relocate, to Boston, MA 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.

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.

What You’ll Do

• Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers
• Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions
• Collaborate closely with various engineering, infrastructure, and ML platform teams to ensure adoption of best-practices in how we build and deploy scalable ML services
• Build robust monitoring, alerting, edge-case handling mechanism
• Identify new opportunities and insights from the data (where can the models be improved? what is the projected ROI of a proposed modification?)
• Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on

We Are a Match Because You Have

• Minimum 0-1 years of experience with PhD, or 3+ years of industry experience with MSc/BaSc in STEM -- engineering, computer science, economics, etc.
• Proficiency in Python or one other high-level programming language
• Must have a strong theoretical understanding and solid hands-on expertise deploying machine learning solutions into production.
• Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity
• Intellectual curiosity and enthusiastic about continuous learning

Nice To Have

• Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)
• Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow)

Time Off

Why You'll Love Wayfair:

• 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
• Global Pod Outings

Work/Life Balance

• Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments

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.

Need Technical Assistance?

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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 [e-mail].