Machine Learning Science Intern - Summer 2027

Wayfair; Boston (MA); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Employee discount

Office amenities

Job summary

Wayfair invites top PhD students for a 10-week Machine Learning Science Internship in Boston. You will own the ML lifecycle from idea through deployment, tackling state‑of‑the‑art problems in Search, Personalization, Pricing, and Supply Chain.

You’ll work with mentors to measure business impact via in‑house A/B testing and publish findings where applicable. Daily work blends research and production readiness, with opportunities to publish and contribute to real Wayfair projects while enjoying a

Qualifications

• PhD student in a quantitative field; expected degree between Dec 2027 and Aug 2028.
• GPA of 3.0 or higher.
• Must be returning to the degree program after the internship.
• Proficient in Python.

Responsibilities

• Own the ML lifecycle from idea to deployment and business impact.
• Develop and scale ML models to solve core business problems.
• Create algorithmic solutions that improve customer and supplier experiences.
• Extract insights from large datasets to drive business value.
• Pilot new tools and contribute to potential publications.
• Collaborate with a team to build scalable solutions.

Skills

Python

Tools

GitHub

PySpark

Docker

SQL

GCP

PyTorch

TensorFlow

Job description

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.

• 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‑faced 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 let us know by completing our Accomodations for Applicants form.

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 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 [e-mail].