Machine Learning Scientist

Cambridge, MAfull timeOn Site

H1B: no

Cartesian Systems The Machine Learning Scientist at Cartesian Systems designs, develops, and deploys ML models for indoor positioning and perception. The role involves optimizing model architectures and collaborating with engineering and product teams to ship features to enterprise customers.

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.
Design, develop, and deploy ML models for indoor positioning and perception.
Optimize model architectures for performance and efficiency.
Develop tools and datasets to benchmark performance in the real world and at scale.
Translate research into production pipelines.
Collaborate with engineering and product to ship features to enterprise customers.

Qualification

PhD in computer sciencePublications in top-tier MLThrive in fast-pacedPast startup experience

Required

PhD in computer science, electrical engineering, or related field.
Deep understanding and hands-on experience in machine learning models for time-series data, including both transformer-based architectures and probabilistic models (e.g., state estimation).
Publications in top-tier ML, vision, or systems venues (e.g., ACL, NeurIPS, CVPR, ECCV, ICCV, MobiCom, MobiSys, MLSys, ICASSP, ICML, ICRL, ICRA, IROS).
Ability to write high-quality production code.
Excellent communication skills and ability to collaborate across disciplines.
Thrive in fast-paced, dynamic environments and take pride in producing high-quality work.

Preferred

Past startup experience
Industry experience in applied software or ML engineering.
Familiarity with cloud-based model training and inference.
Experience in optimizing and deploying ML models in mobile environments.
Background in wireless localization or radar signal processing
Experience with computer vision or multi-sensor fusion techniques (e.g., 2D/3D perception, pose estimation, tracking, SLAM).

Benefits

Vision

Company

Cartesian Systems

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