Undergraduate Summer Intern - Product Testing

About the Company

Cartesian is building machine learning systems to map the indoor world at scale using wireless signals and mobile computer vision.

We are tackling one of the biggest unsolved problems in the $35-trillion global retail industry: inventory visibility within stores. Our first-of-its-kind inventory intelligence product is enabling unprecedented indoor positioning and insights to solve this problem for retailers, starting with international fashion brands.

Our founders are an MIT engineering professor and an alum who invented the award-winning patented technologies underlying Cartesian. Since spinning out in 2023, we’ve bootstrapped to a deployed product, secured the highly selective SBIR grant from the U.S. National Science Foundation, and are generating revenue from paying customers.

About the Role

High-quality data and rigorous field testing are essential to our product's success. We're looking for a motivated, detail-oriented undergraduate intern who’s eager to run hands-on experiments that directly impact our product innovations.

In this role, you’ll travel to customer sites to evaluate system performance in diverse, unpredictable environments. You’ll also help improve how we gather data—building tools and automation that enhance both the quality and variety of data we gather.

Working closely with our R&D and engineering teams, you’ll test new features before they are released, debug field issues, and identify edge cases that influence development priorities. Your contributions will play a key role in ensuring our system is robust, reliable, and ready for the real world.

We prefer full-time interns, but will also consider part-time interns.

Responsibilities

• Visit fashion retail stores (mostly in Boston area) to run experiments and collect high-quality datasets for evaluating our product

• Improve our data collection tools to make them faster, more reliable, automated, and easier to use

• Test and validate new features in collaboration with R&D and engineering, helping identify failure cases and informing product decisions

Qualifications

• Current undergraduate student in Computer Science, or a related technical field

• Strong Python programming skills

• Ability to design rigorous experiments with meticulous attention to detail

• Able to travel locally or regionally as needed

Nice to Have

• Speaks Spanish

• Flexibility for occasional early and/or late site visits

Why Join Us

• Work with a fast-moving MIT startup building next-generation retail technology

• Learn from experienced researchers and engineers in a fast-paced environment

• See your contributions directly impact an innovative and growing software product

Interview Process

• Project Discussion (30 min): Discuss your experience and a recent project you did

• Coding Challenge (Take-Home, 2 hours): Demonstrate programming skills via a small project

• Technical Interview (45 min): Review and extend the take-home challenge

Salary: 20 - 25 USD an hour