Senior Machine Learning Engineer
Core
Building resilient, low-latency ML backend systems and APIs to productionize safety AI models for edge devices and cloud-scale fleet operations.
Role type
Senior Machine Learning Engineer (Production Systems)
Builds
Cloud-scale safety features, ML APIs, data pipelines, and evaluation infrastructure for video-based safety and telematics.
Domain
IoT, Computer Vision, Autonomous Driving, Fleet Management
Deliverable
production ML models
Required skills
Machine Learning engineering, Computer Vision, Python, C++, Golang, Java, Scala, Ray/Ray Serve, MLflow, Pytorch, Spark, Cloud deployment (AWS/GCP/Azure), Containerization (Docker/Kubernetes), CI/CD, Full-stack/backend development
Preferred skills
Ph.D. in CS or quantitative field, Distributed model training optimization, GPU expertise, End-to-end ML application shipping, Infrastructure-as-code
Responsibilities
Design and maintain low-latency ML APIs for model integration, Build scalable data pipelines for continuous model iteration and evaluation, Optimize and serve model artifacts for platform-specific workloads, Process petabyte-scale sensor and camera data, Monitor model drift and production health metrics, Partner with firmware and platform teams for edge-to-cloud execution optimization
Seniority
Senior, hands-on IC
