Machine learning science

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Program Dates: June 1, 2026 - August 7, 2026

The base salary for this role is $5,200 per bi-weekly pay period

This is a Boston based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)

Who We Are

The Machine Learning team develops core algorithmic systems for the business, with over 20 specialized sub-teams working on a wide range of projects including Search, Pricing, Personalization, and Supply Chain. Our program gives you the chance to address key business challenges with state-of-the-art solutions. You'll work with great mentors who will guide you from problem definition to production, with the potential to publish your work in top-tier venues.

We collaborate with various stakeholders to build scalable ML solutions that drive revenue and enhance the customer experience. Our projects are driven by entrepreneurial individuals who take ownership of their work in a collaborative setting. Examples include developing models for customer preferences, optimizing profitability through demand forecasting, and creating solutions to detect duplicate products. Your work will directly impact the customer experience, with our in-house A/B testing platform allowing you to see the immediate effects of your algorithms on the company.

What You’ll Do

• Own the entire machine learning lifecycle, from initial idea to deployment and measuring business impact
• Develop and scale cutting-edge machine learning models to solve core business problems
• Create impactful algorithmic solutions that directly improve customer and supplier experiences
• Uncover and act on key insights from vast datasets to provide tactical guidance and drive business value
• Pilot new tools and techniques and contribute to potential scientific publications
• Collaborate with a team of experts to build maintainable and scalable solutions
  
  

What You’ll Need

Basic Qualifications:

• Currently enrolled in a PhD program in a quantitative field (Computer Science, Mathematics,, Engineering, Statistics/Biostatistics, Physics, Robotics, Operations Research, etc.) with the expectation that the degree will be obtained between December 2026 and August 2027
• Proficient knowledge of structured programming language(s) (e.g. Python)
• Must be returning to the course of study following completion of the internship
• Ability to commit to working 40 hours per week (9am-5pm, Monday-Friday) from June 1 - August 7, 2026 in our Boston office
  
  

Preferred Qualifications

• Familiarity with regression and machine learning techniques, such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.
• An affinity for data along with experience leveraging statistics and regression analysis
• Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value
• Experience with languages and tools relevant to data science, including Pytorch/TF, github, pyspark, Docker, SQL, GCP
• Familiarity with data structures, algorithms, OOP, and programming in a team environment
• Quick learner with an analytical approach to solving problems as part of a team who has strong communication skills
• Strong comfort level and appetite to use AI in daily workflow
• Ability to thrive in a dynamic environment where there can be degrees of ambiguity
• Ability to effectively work with technical leads
• Ability to synthesize conclusions for non-experts and desire to influence technical decision
  
  

Why You’ll Love Wayfair

Throughout the Internship Program, we provide interns with the opportunity to engage in social and community building activities including:

• A calendar of intern events including social networking, professional development and a leadership dialogue series
• Formalized mentorship program along with an assigned reporting manager for impactful professional development and feedback
• Skills-based training
• Dialogue events with senior leaders to provide a holistic view of all functions at Wayfair
• Coffee chat opportunities for interns to get to know one another
• Volunteer opportunities
• Intern-wide innovation project designed to teach interns skills for handling ambiguous business problems
• Intern Appreciation Day celebration
• Events throughout Boston which allow interns to explore what the city has to offer including a Red Sox game, and Boston Harbor boat cruise.
  
  

Purpose & Inclusion at Wayfair:At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone.

Social Impact & Responsibility:At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home.

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 ( If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at [email protected].

If you have questions about this posting, please contact [email protected]