Teams at Cartesian

PhD intern will research and develop machine learning, perception, sensor fusion, and signal-processing algorithms for indoor positioning and spatial AI. Responsibilities include experimenting with real-world deployment data, analyzing failures, improving production ML pipelines, validating models, and collaborating with engineering and product teams to ship enterprise features. The role is hands-on, product-focused, and involves research in production rather than public publication.

Conduct research in sensor fusion and spatial AI; develop indoor positioning and spatial perception algorithms; run experiments on customer deployments; analyze failures; improve production machine learning and signal processing pipelines; and collaborate with engineering and product teams to ship enterprise features. The role is an in-person, full-time postdoctoral position requiring a PhD or imminent PhD completion.

Conduct market, customer, competitor, and partner research; synthesize strategic recommendations; support financial modeling, reporting, operational processes, customer success, partner relations, product demos, onboarding, and fundraising. Collaborate closely with operations leadership and founders on high-impact company initiatives in an in-person startup environment.