Cartesian · 2 weeks ago
Applied Research Scientist
Cartesian is building wireless foundation models to map the indoor world at scale, addressing inventory visibility in the retail industry. They are seeking a product-oriented Scientist to impact core algorithms and shape the technical roadmap of their innovative product.
Responsibilities
Work on core algorithmic problems that blend modeling, estimation, and perception
Build and run experiments and benchmarks on real data from live deployments
Translate research prototypes into robust production pipelines (mobile, edge, cloud) in collaboration with engineering
Work across engineering and product to define and deliver new features for enterprise customers
Monitor, analyze, and improve system performance in real world conditions and scale
Develop datasets, metrics, and tools that help us measure and improve performance
Help shape new product capabilities and directions as we expand
Own problems end to end from framing to deployment
Qualification
Required
PhD in computer science or related field
Deep understanding and practical experience in at least one of the following areas: machine learning, signal processing, transformers, probabilistic models (e.g., state estimation, EKF, …), SLAM, mapping, localization, MDP, GNNs, 3D reconstruction, sensor-fusion, dead reckoning…
Publications in top-tier ML, vision, or systems venues (e.g., ACL, NeurIPS, CVPR, ECCV, ICCV, MobiCom, MobiSys, MLSys, ICASSP)
Ability to write high-quality, maintainable code
Excellent communication skills and ability to collaborate across disciplines
Thrive in fast-paced, dynamic environments and take pride in producing high-quality work
Past startup experience
Industry experience in applied software or ML engineering
Familiarity with cloud-based model training and inference
Background in wireless localization, radar signal processing, or computer vision
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