
Brain Co.
We're building an AI platform and applications for the world's most important institutions. Learn more at https://brain.co/
Open Positions at Brain Co.
22 open positions
Build and own the developer platform that enables Brain Co. engineers to develop, test, review, and ship reliable software faster. This high-leverage role spans monorepo and build systems, CI/CD, engineering automation, developer experience, and AI-assisted workflows.
Build and operate Brain Co.'s detection and response capabilities as a security engineering builder. You will design high-signal detections, automate investigations, lead incident response, and turn security findings into stronger engineering defaults.
Build security tooling and automated guardrails for production AI systems across cloud infrastructure, Kubernetes, containers, and developer workflows. This winter/spring co-op offers hands-on mentorship and the opportunity to ship meaningful security engineering projects.
Join Brain Co. as an AI Platform Engineer Co-Op Intern and help build the Kubernetes-, Terraform-, and cloud-based infrastructure powering production AI applications. You’ll gain hands-on experience with distributed systems, observability, reliability, and large-scale AI workloads alongside experienced engineers.
Join Brain Co. as a Machine Learning Engineer Co-op Intern building and deploying AI/ML systems, including LLM-powered applications, for high-impact institutional workflows. This hands-on winter co-op offers mentorship, production exposure, and meaningful ownership across the ML lifecycle.
Join Brain Co. as a 2027 New Grad Machine Learning Engineer building and deploying advanced LLM systems that automate complex workflows across healthcare, government, energy, and other regulated industries. You’ll contribute to production AI systems with global impact from day one.
Build the shared machine learning platform behind Brain Co.’s agent-native operating systems, including document extraction, foundation models, model routing, and evaluation. You’ll own ML capabilities from research through production and help make institutional workflows measurably better over time.
Build frontier machine-learning and agentic AI systems that turn messy institutional data into reliable production decision systems. You’ll own the full path from ambiguous customer problems and evaluation design through model training and deployment.
Build the security guardrails that let AI agents safely operate on sensitive customer data in production. You’ll ship services, libraries, validation systems, and audit infrastructure that constrain agent access and actions.
Machine Learning Engineer Intern supporting the design, training, evaluation, and deployment of ML systems and LLM-powered applications for high-impact real-world workflows. The role offers mentorship, production ownership, and exposure to healthcare, government, and energy use cases.
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