Applied ML/CS PhD Internship (6+ months)

In-person at the Cartesian HQ in Kendall Square, Cambridge.

Internship type: Full-time, PhD internship

Duration and timing: 12–24 weeks, Summer 2026; flexible start dates

• Explore new research directions in sensor fusion and spatial AI aligned with product needs
• Develop and improve algorithms for indoor positioning and spatial perception
• Run experiments on real-world customer deployments: collect data, analyze failures, propose fixes, and validate improvements
• Contribute to production ML and signal processing pipelines (modeling, evaluation, deployment)
• Collaborate with engineering and product to ship features to enterprise customers

• Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Robotics, or a related field.
• Research track record of published work in top-tier CS/ML, vision, robotics, or related venues.
• Strong foundations in at least one of: machine learning, perception, sensor fusion, and/or signal processing.
• Demonstrated research output (e.g., strong publications, open-source projects, or impactful applied work)
• Excellent communication skills and ability to work in a small, fast-moving team.
• Curiosity, ownership, and a bias toward action and real-world impact

Nice to Have

• Startup or early-stage company experience
• Experience shipping products (e.g., part of internships)
• Experience or strong interest in spatial AI (3D vision, SLAM, mapping, sensor fusion, geometric deep learning, …) is highly desirable.

• Work on hard, real-world problems with immediate and visible impact
• Join a small, highly technical team with significant ownership and autonomy
• Build systems that are deployed and used globally
• Collaborative, thoughtful, low-ego culture focused on learning and execution
• In-person team culture in the heart of Kendall Square, Cambridge

• Introductory call to assess motivation and overall fit (20m)
• Technical interview focused on past projects (60m)
• Technical design interview (45m)
• Coding interview (45m)

• Meet the team and references