Senior Machine Learning Engineer
Core
Productionizing ML models end-to-end for a live logistics network, including route assignment, delivery duration prediction, and object detection.
Role type
Senior Machine Learning Engineer (Production & Platform)
Builds
Production ML models, model serving architecture, and reusable ML platform components.
Domain
Logistics / Supply Chain / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Rust, ONNX, Kubernetes, BigQuery, GCP, model deployment, system testing, drift monitoring
Preferred skills
Building automation, first-principles thinking, rapid experimentation
Technologies
Python, Rust, ONNX, Chalk.ai, GCP Agent Platform, Kubernetes, BigQuery
Responsibilities
Own end-to-end productionization of critical ML models; evolve model serving architecture and expand reusable components; architect integration and system testing within training pipelines; launch revamped processes with data scientists to measure real-world impact.
Seniority
Senior, hands-on IC
