Machine Learning Intern- Summer 2025

Wayfair

Sep 21

Applications are closed

Internship
Full-time
Summer Internship
Data
Software Engineering
Boston

Requirements

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.
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 non-experts and desire to influence technical decision

Responsibilities

Own the full Data Science/Machine Learning lifecycle from conception to prototyping, testing, deploying, and measuring its overall business value
Develop and scale state-of-the-art 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 decision-making 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!

FAQs

What are the program dates for the Machine Learning Intern position?

The program dates are from June 2 to August 8, 2025.

What is the work location for this internship?

This is a Boston-based opportunity with a 3-day in-office requirement.

What is the expected weekly commitment for interns?

Interns are expected to commit to working 40 hours per week, from 9am to 5pm, Monday to Friday.

What qualifications are required to apply for this internship?

Candidates must be currently enrolled in a PhD program in a quantitative field, have 0-1 years of relevant work experience, and must return to their course of study after the internship.

What programming languages should candidates be proficient in?

Candidates should have proficient knowledge of structured programming languages, particularly Python.

What kind of projects will interns be working on?

Interns will own the full Data Science/Machine Learning lifecycle, developing and scaling machine learning methods to address core business problems, and integrating solutions into technical platforms.

Are there opportunities for mentorship during the internship?

Yes, the internship program includes formalized mentorship and assigned reporting managers for impactful professional development and feedback.

Is there any potential for scientific publications based on the internship work?

Yes, interns may have the opportunity to drive scientific publications based on their results in major Data Science and Machine Learning conferences or workshops.

What community-building activities does the internship program offer?

The program provides a calendar of intern events, volunteer opportunities, dialogue events with senior leaders, and social networking activities to help foster community among interns.

How does Wayfair ensure a diverse and inclusive workplace?

Wayfair is an equal opportunity employer, committed to celebrating differences and ensuring that every voice and perspective matters in the workplace.

Wayfair

Retail & Consumer Goods

Industry

10,001+

Employees

2002

Founded Year

Mission & Purpose

Wayfair is the destination for all things home: helping everyone, anywhere create their feeling of home. From expert customer service to the development of tools that make the shopping process easier, to carry one of the widest and deepest selections of items for every space, style, and budget, Wayfair gives everyone the power to create spaces that are just right for them.