ML Engineer with Distillation experience

High-tech project at the intersection of GPU-accelerated ML inference and real-time graphics. The goal is to build fast, reliable, cost-efficient inference pipelines for visual computing and integrate ML components into real-time rendering / engine workflows. A key focus is model distillation and compression to reduce latency, memory footprint, and infrastructure cost, with production deployment using standard engineering practices. Build and optimize GPU inference pipelines for low latency and high throughput Implement model distillation / compression to make models faster and cheaper Profile and tune performance across CPU and GPU (latency, throughput, memory) Integrate ML into real-time graphics workflows / pipelines (engine-side integration when needed) Maintain production readiness: reproducible builds, basic CI/CD, containerized deployment