Thinking Machines Lab

Build privacy and data-governance systems that control how Thinking Machines collects, stores, accesses, uses, and deletes data across AI training, evaluation, and products. This hands-on engineering role turns legal and policy requirements into production controls, pipelines, and guardrails.

Build and lead detection and response capabilities protecting a frontier AI lab’s systems, models, and data. This role combines incident response, security telemetry pipelines, threat intelligence, detection engineering, and automated response.

Software Engineer, Security focused on embedding security into AI products, building secure-by-default controls and developer tooling, and mitigating AI-specific risks. The role partners closely with product and research teams to protect systems while enabling rapid iteration.

Own and evolve the security infrastructure supporting Thinking Machines’ frontier AI models, spanning cloud, Kubernetes, identity, data platforms, and secure infrastructure tooling. This role combines deep infrastructure engineering with security architecture and platform enablement.

Build Tinker’s developer experience by creating libraries, recipes, integrations, and technical content that help researchers and developers fine-tune frontier models. The role combines hands-on engineering with direct user engagement and product strategy.

Build frontier training systems for Tinker, including reinforcement learning infrastructure, numerics, kernels, and post-training pipelines. You’ll collaborate with researchers and external users to improve customization techniques and help make frontier-model post-training broadly accessible.

Own the reliability, scalability, and efficiency of production inference systems serving real users and powering Tinker’s multi-tenant platform. This role bridges advanced inference techniques with safe deployments, observability, capacity planning, and incident response.

Build the distributed infrastructure powering frontier model training and multi-tenant serving at Thinking Machines. You’ll own large-scale systems that directly accelerate research and product development.