Staff Machine Learning Engineer, ML Infrastructure

SimpliSafe seeks a Staff ML Engineer for the Cloud ML team to own cloud-side ML infrastructure and applied ML research for intelligent home security products. This senior individual contributor role focuses on building, deploying, and operating ML systems at scale, including real-time computer vision inference and LLM/GenAI infrastructure. Responsibilities include setting technical direction for ML infrastructure on Kubernetes with Ray, KServe, Triton, and vLLM; building and operating real-time,

8+ years of software/ML engineering experience with production ML systems at scale. Deep expertise in cloud ML infrastructure on Kubernetes with hands-on production experience with Ray; experience with KServe, Triton, vLLM, Kubeflow, Argo, or similar is a strong plus. Strong production experience on AWS (EKS, S3, IAM, networking) and with Kafka, containerized deployments, CI/CD, and infrastructure-as-code. Demonstrated experience designing and operating high-throughput, low-latency inference