Scale AI

Lead the design and deployment of agentic machine learning systems for mission-critical government environments at national scale. This Staff role combines ML systems engineering, applied research, retrieval, geospatial reasoning, and production reliability.

Own the architecture, production delivery, and evaluation of generative AI and agentic machine learning capabilities for mission-critical public-sector and defense applications. This senior role combines model deployment, agent systems, ML infrastructure, and technical leadership in constrained environments.

Build production-grade, full-stack AI applications directly with public sector clients to solve high-impact challenges affecting millions of citizens. This forward-deployed role combines customer collaboration, end-to-end engineering, and cloud deployment.

Lead the architecture and delivery of production-grade, full-stack AI applications for public sector clients as a forward-deployed technical strategist. You’ll translate ambiguous mission needs into scalable platforms, guide onsite implementations, and turn client lessons into reusable engineering patterns.

Build and deploy end-to-end data solutions for leading AI companies and government agencies as a customer-facing Forward Deployed Engineer. You’ll translate complex customer challenges into scalable front-end, back-end, and infrastructure features supporting generative AI systems.

Build foundational platform systems that power Scale’s AI products, including cloud infrastructure, orchestration, data platforms, and developer tooling. This role combines backend engineering with large-scale distributed systems and AI application infrastructure.

Join Scale as a Software Engineering Intern for Summer 2027 and ship production software supporting reliable AI systems, model development, and large-scale contributor and customer workflows. Interns work on real engineering roadmaps with mentorship and ownership comparable to full-time engineers.

Scale is hiring a New Grad Software Engineer to ship customer-facing AI products and data-driven systems from day one. The role spans full-stack product development, AI applications, evaluation infrastructure, and high-scale data systems.