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Micro-Intern: Research Assistant (IAP - Alumni Host) at Cartesian Systems · LumiJobs

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Cartesian Systems· Posted Sep 16, 2026

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

Cambridge, MAinternship

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H1B: no

Cartesian Systems The Micro-Intern Research Assistant will develop and optimize machine learning models and data processing pipelines for indoor spatial intelligence. This role involves data collection, analysis, and improving production model accuracy in a fast-paced startup environment.

Responsibilities

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.
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

Qualification

Strong Coder (Python)IndependentFastInterview ProcessScreen (15 min)Project Discussion (45 min)Coding (45 min)

Required

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)

Benefits

Vision

Company

Cartesian Systems

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Must-Have Skills for This Role

PythonMachine Learning

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