Cartesian Systems
Machine Learning Scientist
About this role
Cartesian seeks an ML Scientist to develop and deploy positioning and perception models for their indoor spatial intelligence platform serving retailers. You'll optimize algorithms for real-world performance, translate research into production pipelines, and collaborate with engineering teams to ship features to enterprise customers.
What you'll do
- Design, develop, and deploy ML models for indoor positioning and perception tasks
- Optimize model architectures for performance efficiency and scalability
- Create benchmarking tools and datasets to evaluate performance at scale
- Convert research prototypes into production-ready pipelines
- Partner with engineering and product teams to deliver features to enterprise clients
What they're looking for
- Machine learning (transformers, probabilistic models, state estimation)
- Time-series data modeling and analysis
- Production-grade Python or compiled language coding
- Computer vision and multi-sensor fusion
- Wireless localization or signal processing
- Cloud-based ML training and inference
- Mobile ML optimization and deployment
- Interdisciplinary collaboration and communication
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Cartesian Systems
Cartesian Systems builds an indoor spatial intelligence platform for retail that uses machine learning to enable positioning and perception capabilities. The company is hiring ML Scientists and engineers to develop and deploy perception models and features for enterprise retail customers.
View all jobs at Cartesian SystemsLikely interview questions
- Walk us through a recent project where you translated a research paper or prototype into a production ML system—what were the key challenges?
- Describe your experience with time-series models; have you worked with both transformer architectures and probabilistic state-space approaches?