About the role#
This PhD internship offers the opportunity to contribute to core algorithms and work directly on a deployed enterprise product. You will work at the intersection of machine learning, perception, estimation, and signal processing to drive research in spatial AI while shipping features that reach enterprise customers. This is a hands-on, product-driven role where your work will have a tangible impact on real-world deployments.
What you'll do#
- 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, including collecting data, analyzing failures, proposing fixes, and validating improvements.
- Contribute to production ML and signal processing pipelines, including modeling, evaluation, and deployment.
- Collaborate with engineering and product teams to ship features to enterprise customers.
What you'll need#
- 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 the following: machine learning, perception, sensor fusion, or signal processing.
- Demonstrated research output through publications, open-source projects, or impactful applied work.
- Excellent communication skills and the ability to work effectively in a small team.
- Preference for candidates with startup experience, experience shipping products, or a strong interest in spatial AI topics like 3D vision, SLAM, mapping, or geometric deep learning.
Location & details#
- Location: On-site at the Cartesian headquarters in Kendall Square, Cambridge, Massachusetts.
- Term: Summer 2026.
- Duration: 12 to 24 weeks with flexible start dates.
- Employment type: Full-time paid internship.
- Note: This position does not provide sponsorship.
