AI Engineer & Researcher, Inference

Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments Preferred: Experience deploying high-availability applications on Kubernetes Preferred: Experience deploying ML models to production

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools for visibility into bottlenecks and sources of instability, and design and implement solutions.