Machine Learning Intern- Summer 2025

Program Dates: June 2 - August 8, 2025

*This is a Boston based opportunity with a 3 day in office expectation*

Who We Are: 

Wayfair is seeking analytical and action-oriented candidates for the Machine Learning Science intern opportunities starting in June 2025. The Machine Learning team builds the algorithmic systems that drive our business. With expansive workstreams (including Search, Pricing, Personalization & Recommendations, Merchandising, Marketing, Measurement, B2B, Computer Vision, Sales, Services, and Supply Chain), and more than 20 specialized sub-teams, the projects that our teams work on directly impact our customers on a massive scale. Our internship program is a 10-week full-time position that will give you the opportunity of exploring core Wayfair business challenges and coming up with state-of-the-art solutions and taking them into production. You will work with great mentors who will help you all the way from defining the problem and identifying the potential solutions to planning the path to take it to product and potentially publishing your work in reputed AI/ML/DS venues.

We work closely with stakeholders across the business to build scalable ML solutions and algorithmic platforms that drive incremental revenue, enhance the customer experience, & improve customer loyalty. The projects that our teams work on are driven from the ground up – we look for entrepreneurial individuals who want to take ownership over their own agenda and thrive in a collaborative team environment. Take for example (1) Developing novel machine learning models to identify latent customer preferences so that the best products can be highlighted in real-time to our customers, (2) Optimizing profitability and business strategy by accurately forecasting future demand, costs and margin; Estimating the long-term impacts on customer behavior of short-term actions via experimentation, or (3) Creating machine learning solutions to detect product duplicates across the millions of products in our catalog and scaling the solution to handle real-time uploads of new products by partners. Data is at the heart of everything we do and there is very little at Wayfair that our Machine Learning team does not touch. They work closely with various teams across the business to build and scale novel solutions to business problems via machine learning. With an in-house A/B testing platform and rolling code deployments, our team can quickly and clearly see the impact that its work has on the company at large and the algorithms you create will directly impact the customer’s experience.

What You’ll Do:

• Own the full Data Science/Machine Learning lifecycle from conception to prototyping, testing, deploying, and measuring its overall business value
• Develop and scale state-of-the-art machine learning methods and quantitative models to address core business problems
• Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site
• Drive measurable business value collaborating with business teams to change the course of Wayfair
• Pilot projects using new open source tools and packages to enable novel machine learning techniques across the company
• Uncover deep insights hidden in our vast repository of raw data and provide tactical guidance on how to act on findings
• Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers
• Work with a team of friendly and motivated scientists working together to build novel solutions to business problems
• Collaborate with ML Scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practices
• Drive any potential scientific publications based on the results in major Data Science and Machine Learning conferences or workshops
• Bonus: You will learn a ton and have fun!

 

What You’ll Need: 

Basic Qualifications: 

• Currently enrolled in a PhD degree program, with at least 0-1 years of relevant work experience, in a quantitative field (Mathematics, Science, Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.), with the expectation that the degree will be obtained between December 2025 and Summer 2026.
• 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/week (9am-5pm, Monday-Friday) from June 2  - August 8, 2025 in our Boston office.
• You must be authorized to work in the United States without visa sponsorship by Wayfair now or in the future. 

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
• 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

 

Wayfair Internship Program 

Our Summer Internship Program is a paid, full-time program in our Boston, Massachusetts office for 10 weeks, June 2-August 8. No matter who you are, we want Wayfair to be a place where you feel at home. We offer high impact-projects, mentorship, and community-building activities to all of our interns. Throughout the 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.

 

Wayfair’s In Office Expectations:

An Important Note about Wayfair's In-Office Policy:

All Boston-based interns, co-ops, and corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days Tuesday, Wednesday, and Thursday, and work remotely Monday and Friday.