The Allen Institute for Artificial Intelligence

Lead the organization’s security program at Ai2, securing cloud infrastructure, ML pipelines, application code, and SaaS systems while building security processes largely from the ground up. This hands-on leadership role combines security assessments, incident response, tooling, compliance, and cross-functional advising.

Senior Infrastructure Engineer responsible for automating IT systems, cloud infrastructure, identity management, security monitoring, and disaster recovery for an AI research institute. The role is based on-site in Seattle and partners closely with the IT help desk and non-technical teams.

Senior Research Engineer helping partners deploy and adapt OlmoEarth foundation models for Earth-observation use cases such as wildfire risk, crop mapping, and conservation. The role combines hands-on machine learning development, partner enablement, model fine-tuning, and improvements to the OlmoEarth platform.

Senior Research Engineer responsible for training and advancing Ai2’s open large language and multimodal models, including Olmo and Molmo. The role combines deep learning research, large-scale ML infrastructure, agentic systems, and production-quality software engineering.

Build and operate high-performance AI infrastructure that schedules and executes frontier model workloads across large GPU clusters. This senior role combines distributed systems engineering, HPC operations, automation, and GPU performance optimization.

Build the foundational frameworks, SDKs, APIs, and execution infrastructure powering AI research agents at Ai2. This senior role focuses on making complex distributed agent systems reliable, observable, and easy for researchers to use.

Senior Fullstack Software Engineer building AI-powered applications for scientific discovery, combining React user experiences with Python backend services. The role offers broad ownership across the software lifecycle and close collaboration with UX, product, and research teams.

Build the core APIs, runtime services, observability, evaluation tools, SDKs, and CLI that let organizations develop and operate reliable AI agents on their own data. This senior role combines platform engineering with hands-on production agent development for conservation, climate, and other high-impact applications.