Machine Learning Science Intern - Summer 2026
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 contact candidateaccommodations@wayfair.com.
Need Technical Assistance?
If you are having any technical difficulty submitting your application, please reach out to our careers team at careers@wayfair.com.
About Wayfair Inc.
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.
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