Micro-Intern: Research Assistant (IAP - Alumni Host)

Micro-Intern: Software Engineer (IAP - Alumni Host)

Location: On-site; Boston/Cambridge, MA;

Dates: Full-Time; January 4, 2027 - January 29, 2027

Compensation: $20-25/hr

About the Role

We're looking for a highly motivated, product-oriented Machine Learning Scientist to join our core R&D team at a pivotal moment in our growth. You'll have a direct impact on key positioning algorithms & models, take ownership of new features, and help shape the technical roadmap of a category-defining product. We move fast, care deeply about quality, and value people who take initiative and crave real-world impact.

You'll be joining us in-person in the heart of Kendall Square, Cambridge, next to MIT and the Charles River.

What You'll Do

• At the beginning of your IAP, we will define a specific project you will have ownership and responsibility for during the internship.
• This will require learning extremely fast, operating with ambiguity, and iterating on feedback each week.
• The project will likely combine many of the following:

• Visit fashion retail stores (mostly in Boston area) to run experiments and collect high-quality datasets for evaluating our product
• Develop scripts to process and analyze large datasets
• Optimize machine learning models and processing pipelines for cost and efficiency
• Improve the accuracy of the outputs of our production models.
• Improve data collection tools to make them more automated, reliable, and easier to use

About You

• Strong Coder (Python): You can write software to solve problems effectively, whether it's wrangling data, generating analytical reports, or optimizing parts of pipelines.
• Independent, High-Ownership: You are able to take a task, break it down, solve it with minimal oversight. You make sure work is completed, even if you hit roadblocks.
• Fast, Driven Learner: You like digging deep into unfamiliar territory, and you quickly pick up new skills along the way.

Interview Process

• Screen (15 min): Sync on the role and your interests.
• Project Discussion (45 min): Show us something cool you've built. Explain your decisions, and what you learned.
• Coding (45 min)
• Offer