Wayfair
Machine Learning Intern- Summer 2025
Wayfair, Boston, Massachusetts, us, 02298
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 valueDevelop and scale state-of-the-art machine learning methods and quantitative models to address core business problemsIntegrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our siteDrive measurable business value collaborating with business teams to change the course of WayfairPilot projects using new open source tools and packages to enable novel machine learning techniques across the companyUncover deep insights hidden in our vast repository of raw data and provide tactical guidance on how to act on findingsUse data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliersWork with a team of friendly and motivated scientists working together to build novel solutions to business problemsCollaborate with ML Scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practicesDrive any potential scientific publications based on the results in major Data Science and Machine Learning conferences or workshopsBonus: 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.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 analysisIntuitive sense of how quantitative and technical work aligns closely with business priorities and business valueExperience 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 environmentQuick learner with an analytical approach to solving problems as part of a team who has strong communication skillsAbility to thrive in a dynamic environment where there can be degrees of ambiguityAbility to effectively work with technical leads: ability to synthesize conclusions for non-experts and desire to influence technical decisionWayfair 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 seriesFormalized mentorship program along with an assigned reporting manager for impactful professional development and feedbackSkills-based trainingDialogue events with senior leaders to provide a holistic view of all functions at WayfairCoffee chat opportunities for interns to get to know one anotherVolunteer opportunitiesIntern-wide innovation project designed to teach interns skills for handling ambiguous business problemsIntern Appreciation Day celebrationEvents 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.
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 Berlin, 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 dataprotectionofficer@wayfair.com.
For state-specific application information, please review the following applicant notices
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 Berlin, 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 dataprotectionofficer@wayfair.com.
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 valueDevelop and scale state-of-the-art machine learning methods and quantitative models to address core business problemsIntegrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our siteDrive measurable business value collaborating with business teams to change the course of WayfairPilot projects using new open source tools and packages to enable novel machine learning techniques across the companyUncover deep insights hidden in our vast repository of raw data and provide tactical guidance on how to act on findingsUse data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliersWork with a team of friendly and motivated scientists working together to build novel solutions to business problemsCollaborate with ML Scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practicesDrive any potential scientific publications based on the results in major Data Science and Machine Learning conferences or workshopsBonus: 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.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 analysisIntuitive sense of how quantitative and technical work aligns closely with business priorities and business valueExperience 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 environmentQuick learner with an analytical approach to solving problems as part of a team who has strong communication skillsAbility to thrive in a dynamic environment where there can be degrees of ambiguityAbility to effectively work with technical leads: ability to synthesize conclusions for non-experts and desire to influence technical decisionWayfair 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 seriesFormalized mentorship program along with an assigned reporting manager for impactful professional development and feedbackSkills-based trainingDialogue events with senior leaders to provide a holistic view of all functions at WayfairCoffee chat opportunities for interns to get to know one anotherVolunteer opportunitiesIntern-wide innovation project designed to teach interns skills for handling ambiguous business problemsIntern Appreciation Day celebrationEvents 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.
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 Berlin, 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 dataprotectionofficer@wayfair.com.
For state-specific application information, please review the following applicant notices
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 Berlin, 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 dataprotectionofficer@wayfair.com.