Über
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).
About the Machine Learning Team 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
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 (9 am‑5 pm, 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
Equal Opportunity Employer We are a proud equal‑opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, gender identity, gender expression, veteran status, or any other characteristic protected by law.
Your personal data is processed in accordance with our Candidate Privacy Notice. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact dataprotectionofficer@wayfair.com.
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Sprachkenntnisse
- English
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