At a Glance
- Tasks: Design and develop cutting-edge ML models for indoor positioning and perception.
- Company: Join Cartesian, a pioneering tech company transforming retail with spatial intelligence.
- Benefits: Competitive salary, dynamic work environment, and opportunities for real-world impact.
- Other info: Work in vibrant Kendall Square, near MIT, with excellent career growth potential.
- Why this job: Be at the forefront of innovation and shape the future of retail technology.
- Qualifications: PhD in relevant field and hands-on experience with machine learning models.
The predicted salary is between 60000 - 80000 £ per year.
About the Company
Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. 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. By fusing wireless signals and mobile computer vision, we provide a uniquely scalable and infrastructure-free solution already deployed by international fashion brands. 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.
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. You’ll be joining us in-person in the heart of Kendall Square, Cambridge, next to MIT and the Charles River.
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.
Qualifications
- 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.
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.
- Experience with computer vision or multi-sensor fusion techniques (e.g., 2D/3D perception, pose estimation, tracking, SLAM).
Machine Learning Scientist in Cambridge employer: Cartesian Systems
Cartesian is an exceptional employer, offering a dynamic work environment in the heart of Kendall Square, Cambridge, where innovation thrives. As a Machine Learning Scientist, you'll be at the forefront of developing cutting-edge solutions that have a real-world impact, while enjoying a culture that values initiative and quality. With opportunities for professional growth and collaboration with top-tier talent, Cartesian is committed to fostering your career in a rapidly scaling company backed by prestigious accolades.
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We think you need these skills to ace Machine Learning Scientist in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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