Lead ML infrastructure at Reducto by owning the training and inference stack. Hands-on role (80% building/optimizing) focused on GPU utilization, distributed systems, Kubernetes, kernels, and high-performance serving for AI document workflows. Requires 5+ years production ML infra experience and strong systems engineering skills.
Builds and maintains ML training and inference infrastructure, scales distributed workloads across GPU clusters, and develops tooling for observability and fast iteration. Requires strong Python, systems engineering, Kubernetes, and distributed training experience.
Build and maintain ML evaluation benchmarks and metrics to identify model weaknesses on unstructured enterprise data like PDFs and spreadsheets. Collaborate with ML teams to drive improvements using Python tools and data infrastructure.
Develops and deploys ML models for parsing unstructured enterprise data like PDFs, focusing on training vision models, experimenting with LLMs, building data pipelines, and integrating into products. Requires 2+ years in production ML, Python proficiency, and computer vision expertise.
Builds and optimizes backend APIs and pipelines for document parsing using LLMs, handling PDFs/spreadsheets at scale. Requires 2+ years experience, exceptional Python, and high agency in production AI systems.
Lead ML infrastructure at Reducto by owning the training and inference stack. Hands-on role (80% building/optimizing) focused on GPU utilization, distributed systems, Kubernetes, kernels, and high-performance serving for AI document workflows. Requires 5+ years production ML infra experience and strong systems engineering skills.
Builds and maintains ML training and inference infrastructure, scales distributed workloads across GPU clusters, and develops tooling for observability and fast iteration. Requires strong Python, systems engineering, Kubernetes, and distributed training experience.
Build and maintain ML evaluation benchmarks and metrics to identify model weaknesses on unstructured enterprise data like PDFs and spreadsheets. Collaborate with ML teams to drive improvements using Python tools and data infrastructure.
Develops and deploys ML models for parsing unstructured enterprise data like PDFs, focusing on training vision models, experimenting with LLMs, building data pipelines, and integrating into products. Requires 2+ years in production ML, Python proficiency, and computer vision expertise.
Builds and optimizes backend APIs and pipelines for document parsing using LLMs, handling PDFs/spreadsheets at scale. Requires 2+ years experience, exceptional Python, and high agency in production AI systems.