Cartesian Systems
Machine Learning Scientist
Cambridge, MA
Sponsorship not specifiedDetected 25 days ago
AlgorithmsMachine LearningNLPComputer VisionElectrical EngineeringSignal ProcessingSensorsResearchCommunication
About the role
- 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.
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.
- Cartesian is building spatial intelligence for indoor environments to drive operational efficiency.
Requirements
- Ability to write high-quality production code.
- 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).
- Excellent communication skills and ability to collaborate across disciplines.
- Thrive in fast-paced, dynamic environments and take pride in producing high-quality work.
Nice to have
- 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
Benefits
- By fusing wireless signals and mobile computer vision, we provide a uniquely scalable and infrastructure-free solution already deployed by international fashion brands.
Company info
- We're tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility.
- Our platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies.
- Founded by an MIT engineering professor and alum behind the award-winning, patented core technologies, Cartesian spun out in 2023.
- Originally backed by the prestigious SBIR Award from the US National Science Foundation, we've bootstrapped to a live product that's now deployed in over a dozen countries and have been aggressively scaling in the market.
- Collaborate with engineering and product to ship features to enterprise customers.
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