Machine Learning Engineer
Core
Senior ML Engineer owning end-to-end ML problems for indoor positioning and item localization in retail stores.
Role type
Senior IC machine learning engineer (spatial intelligence)
Builds
Indoor positioning and item localization platform for retailers
Domain
Retail operations + spatial computing + wireless signals
Deliverable
production ML models
Required skills
deep learning, time series modeling, spatial reasoning, system design, Python, PyTorch, data analysis, model optimization, trade-off evaluation
Preferred skills
transformer-based models, probabilistic/state estimation, representation learning, computer vision, multi-sensor fusion, wireless localization, RFID, radar signal processing, mobile deployment, cloud training
Technologies
FastAPI, Postgres, Parquet, Ray, Azure, Kubernetes, Helm, Next.js, Android, Kotlin
Responsibilities
Design, develop, deploy, and monitor deep learning models for indoor positioning; build and improve training/inference/evaluation pipelines; optimize models for accuracy, coverage, latency, and cost; develop benchmarking tools and datasets; collaborate with product teams to ship features; raise engineering standards via reusable infrastructure and design patterns
