Senior Member of Technical Staff: ML Systems and Infrastructure

📋 Description Architect AI infrastructure: end-to-end ML platform from training to inference. Optimize and serve LLM inference stacks; improve throughput, latency, scale. Partner with AI research teams to accelerate experimentation and deployment. Build CI/CD/CT pipelines with Argo Workflows, ArgoCD and GitHub Actions. 🎯 Requirements 5+ years in infra or software; 2+ years in MLOps for large-scale systems. BS/MS in Computer Science, Engineering, or related field. Kubernetes production exp; proficient with Helm, ArgoCD, Argo Workflows. GPU and cloud mastery; optimize resources for training and deployment. LLM inference serving experience: vLLM, SGLang, Triton, Ray Serve. Strong in Python or Go; PyTorch, Jax, or TensorFlow.