Cartesian Systems
Applied Research Scientist
Cambridge, MA
Sponsorship not specified$125k-$175kDetected 25 days ago
AlgorithmsMachine LearningNLPComputer VisionSignal ProcessingSensorsResearchCommunicationCollaboration
About the role
- We're now looking for a highly motivated, product-oriented Applied Research Scientist to join our core R&D team at a pivotal moment in our growth.
- You'll have a direct impact on core algorithms, take ownership of new features, and 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
- Build and run experiments and benchmarks on real data from live deployments
- Develop datasets, metrics, and tools that help us measure and improve performance
- Own problems end to end from framing to deployment
- Cartesian is building spatial intelligence for indoor environments to drive operational efficiency.
Requirements
- Ability to write high-quality, maintainable code.
- PhD in computer science or related field
- Deep understanding and practical experience in at least one of the following areas: machine learning, signal processing, transformer models, probabilistic models (e.g., state estimation), SLAM, MDP, GNNs, 3D reconstruction, sensor-fusion models, …
- Publications in top-tier ML, vision, or systems venues (e.g., ACL, NeurIPS, CVPR, ECCV, ICCV, MobiCom, MobiSys, MLSys, ICASSP).
- Excellent communication skills and ability to collaborate across disciplines.
- Curiosity, initiative, and a desire to work on problems that do not have clean answers while still able to focus on real-world impact
- 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.
Compensation
- Pay range and compensation package
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.
- Work across engineering and product to define and deliver new features for enterprise customers
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