Cartesian Systems
Machine Learning Engineer
Cambridge, MA +1 · Full-time · Posted Sep 18, 2026
- Location
- Cambridge, MA
Cambridge, Massachusetts, United States - Experience
- 5+ years of applied ML experience; at least one system taken personally from ambiguous problem to shipped, measured impact.
- Education
- BSc/MSc in computer science, electrical engineering, or related field.
About the job
Own the end-to-end development and production operation of machine learning models for indoor positioning and product localization in retail stores.
What you'll do
- Design, deploy, and monitor ML models; build training, inference, and evaluation pipelines.
- Benchmark and optimize models and systems for accuracy, coverage, latency, and cost.
- Work with applied science, engineering, and product teams to prioritize and ship customer-facing features.
What they ask for
- BSc/MSc in computer science, electrical engineering, or a related field.
- 5+ years of applied ML experience, including personally taking at least one system from an ambiguous problem to shipped, measured impact.
- Hands-on command of machine learning and strong software engineering fundamentals, including production code.
- Strong data instincts, communication skills, and ability to collaborate across disciplines.
Nice to have
- Expertise in time-series models, representation learning, computer vision, or multi-sensor fusion; or experience in wireless localization, RFID, or radar signal processing.
- Experience deploying ML on mobile or resource-constrained systems, cloud-based ML, research, advanced degrees or publications, or startup experience.
Tools
Python, PyTorch, FastAPI, Postgres, Parquet, Ray, Azure, Kubernetes
AI focus
Develop and operate deep learning and ML models for indoor positioning and item localization, including model training, evaluation, and production monitoring.
Model-written summary · the original posting is authoritative