Machine Learning Intern- Summer 2025

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 actionoriented 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 subteams the projects that our teams work on directly impact our customers on a massive scale. Our internship program is a 10week fulltime position that will give you the opportunity of exploring core Wayfair business challenges and coming up with stateoftheart 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 realtime to our customers 2 Optimizing profitability and business strategy by accurately forecasting future demand costs and margin; Estimating the longterm impacts on customer behavior of shortterm 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 realtime 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 inhouse 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 customers experience.

What Youll Do:

• Own the full Data Science/Machine Learning lifecycle from conception to prototyping testing deploying and measuring its overall business value
• Develop and scale stateoftheart 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 decisionmaking 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 Youll Need:

Basic Qualifications:

• Currently enrolled in a PhD degree program with at least 01 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 9am5pm MondayFriday) from June 2 August 8 2025 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
• 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 nonexperts and desire to influence technical decision

Wayfair Internship Program

Our Summer Internship Program is a paid fulltime program in our Boston Massachusetts office for 10 weeks June 2August 8. No matter who you are we want Wayfair to be a place where you feel at home. We offer high impactprojects mentorship and communitybuilding 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
• Skillsbased 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
• Internwide 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.

Wayfairs In Office Expectations:

An Important Note about Wayfairs InOffice Policy:

All Bostonbased interns coops 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.

About Wayfair Inc.

Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin or in our warehouses or offices throughout the world were reinventing the way people shop for their homes. Through our commitment to industryleading technology and creative problemsolving we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth constant learning and dynamic challenges then youll find that amazing career opportunities are knocking.

No matter who you are Wayfair is a place you can call home. Were a community of innovators risktakers and trailblazers who celebrate our differences and know that our unique perspectives make us stronger smarter and wellpositioned 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. Thats why were 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.

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For statespecific application information please review the following applicant notices