Cartesian ยท 4 hours ago
Machine Learning Scientist
Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. The Machine Learning Scientist will have a direct impact on key positioning algorithms and models, take ownership of new features, and help shape the technical roadmap of a category-defining product.
Responsibilities
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
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)
Company
Cartesian
Cartesian is an MIT spinout building indoor spatial AI to streamline retail operations.
H1B Sponsorship
Cartesian has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
2023 (5)
2022 (1)
2021 (1)
Funding
Current Stage
Early StageCompany data provided by crunchbase