Machine Learning Engineer

Onsite Cambridge, MA

pythontypescriptpostgreskuberneteskotlinazurefastapipytorchandroid r&d

greenhouse

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Job description

Join a growing team in Cambridge, MA, to develop machine learning models for indoor positioning and item localization. You'll work on end-to-end ML problems and help shape the technical roadmap of our product.

Details

Cambridge, MA, work from office
5+ years of applied ML experience
Skills: Python, PyTorch, FastAPI, Postgres, Azure, Kubernetes, Typescript, Kotlin, Android

The work

Design, develop, deploy, and monitor ML models for indoor positioning
Build and improve training, inference, and evaluation pipelines
Optimize models for accuracy, coverage, latency, and cost
Collaborate with engineering and product teams to ship features