Reducto - Machine Learning Infrastructure Tech Lead

• Own the technical direction and roadmap for Reducto's ML infrastructure. • Build and maintain our training and inference stack, balancing fast experimentation with high-performance production serving. • Optimize model serving at every layer, including kernels, runtimes, batching, scheduling, and distributed inference. • Design systems for reliable multi-node, multi-GPU training and inference. • Improve GPU utilization, latency, throughput, reliability, observability, and cost efficiency. • Develop benchmarks that identify bottlenecks and guide infrastructure investments. • Evaluate state-of-the-art advances in training and inference and apply the ones that matter. • Build the tooling and abstractions that help ML engineers move quickly from experiments to production. • Partner with ML and Platform engineers on architecture, capacity planning, and technical prioritization. • Raise the engineering bar through design reviews, mentorship, and hands-on technical leadership. • You'll Thrive Here If You • Have 5+ years of experience building production infrastructure, including significant ML systems experience. • Have led complex technical projects from an ambiguous problem through production deployment. • Are equally comfortable setting direction and personally implementing the hardest parts. • Have strong Python and systems-engineering skills. • Understand the performance characteristics of modern GPU training or inference workloads. • Are comfortable with Kubernetes and distributed training or serving frameworks. • Can reason across low-level model performance and higher-level platform architecture. • Hold yourself to a high bar for quality, precision, and operational reliability. • Operate well in a fast-changing, high-growth environment. • Take full ownership from strategy through execution.