ML Infra Engineer: Scalable RL & Post-Training Pipelines

White Circle is seeking an ML Infrastructure Engineer to build the systems behind post-training, RL, evaluation, and inference for AI models. You will collaborate with researchers near GPUs, training loops, data control systems, and the infrastructure decisions that influence model learning and product quality.

You will design scalable RL/post-training pipelines, tune end-to-end performance, and implement infrastructure for experiment tracking, evals, dashboards, and agentic development