Location: On-site; Boston/Cambridge, MA;
Dates: Full-Time; January 4, 2027 - January 29, 2027
Compensation: $20-25/hr
About the Company
Cartesian is building spatial intelligence for indoor environments to drive operational efficiency.
We’re tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility. Our platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. By fusing wireless signals and mobile computer vision, we provide a uniquely scalable and infrastructure-free solution already deployed by international fashion brands.
Founded by an MIT engineering professor and alum behind the award-winning, patented core technologies, Cartesian spun out in 2023. Originally backed by the prestigious SBIR Award from the US National Science Foundation, we've bootstrapped to a live product that's now deployed in over a dozen countries and have been aggressively scaling in the market.
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.
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:
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Cartesian Systems is a company focused on advanced robotics and AI, likely developing solutions in areas such as machine learning, perception, and sensor fusion. Their work appears to be at the cutting edge of computer science and engineering research.