Machine Learning Science Intern - Summer 2027

Machine Learning Science Intern - Summer 2027

Program Dates: June 1 - August 6, 2027

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: 

Wayfair was selected as a Top 100 Internship program for 2026 by Yello & WayUp!  This list showcases the employers who went above and beyond for their interns in the past year. We take pride in delivering a best in-class experience!

Our 10-week summer internship program is designed to give you a feel for what it would be like to work at Wayfair as a full-time employee. You’ll be assigned real projects and contribute directly to your team’s goals and objectives.

As a Machine Learning Science Intern, you’ll help pioneer production-grade algorithmic breakthroughs across Wayfair’s specialized, high-impact ML teams. You will take complete ownership of the machine learning lifecycle—from deploying state-of-the-art deep learning, reinforcement learning, or NLP models to production to directly measuring immediate revenue impact via our in-house A/B testing platform. By solving high-stakes challenges in Search, Personalization, Pricing, and Supply Chain alongside world-class mentors, your work will optimize global e-commerce systems with the potential to publish your findings in top-tier scientific venues.

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 2027 and August 2028
• Minimum GPA of 3.0
• Must be returning to the course of study following completion of the internship
• Proficient knowledge of structured programming language(s) (e.g. Python)

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, and effectively work with technical leads
• Ability to synthesize conclusions for non-experts and desire to influence technical decision

Why You’ll Love Wayfair:

We’re committed to creating an experience that is meaningful, supportive, and designed to help you launch your career. During our 10-week summer internship program, you won’t just observe—you’ll take ownership of real projects, contribute to core business goals, and see your work directly impact the organization.

You’ll also get a firsthand look at what it’s like to build your career here, with opportunities to:

• Build Future-Ready Skills: Gain hands-on experience using modern technology platforms and approved AI tools, developing practical fluency for today’s tech landscape.
• Receive Dedicated Mentorship: Get regular 1:1 guidance and feedback from your manager, alongside personalized support from a formal mentor.
• Learn from Senior Leaders: Explore various career paths through open dialogues and Q&A sessions with Wayfair leadership.
• Tackle Real Challenges: Participate in an intern-wide innovation project to build your strategic thinking and creative problem-solving skills in high-growth areas.
• Grow Your Network: Connect with peers and colleagues through casual coffee chats, social gatherings, and professional development workshops.
• Make an Impact: Give back to local communities through organized volunteer opportunities and join intern-led social events.
• Experience Boston: Enjoy iconic city events with your cohort, including a Red Sox game and a Boston Harbor cruise.
• Enjoy Employee Perks: Take advantage of the Wayfair employee discount throughout your internship, as well as office amenities like our yoga studio, Peloton bikes, game rooms, free snacks and coffee. 

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.