Edison Scientific

Senior AI Engineer leading the development and deployment of AI agents and tools for cutting-edge biology research. The role combines hands-on AI/software engineering with technical teaching, coaching, and collaboration with postdoctoral Fellows and research partners.

Build and evolve production AI scientist agents that help accelerate scientific discovery and medicine development. This role combines hands-on agent engineering with experimentation, evaluation, and direct collaboration with life sciences R&D partners.

Build and operate the cloud infrastructure that enables Edison Scientific’s AI scientist platform to run securely inside enterprise customers’ cloud environments. This hands-on role owns BYOC architecture, deployment tooling, and client onboarding across AWS and GCP.

Senior Infrastructure Engineer responsible for building and operating Kubernetes-based infrastructure that powers Edison Scientific’s autonomous AI scientist platform. The role focuses on scalability, reliability, developer productivity, and production operations for long-running scientific workloads.

Lead the architecture and operation of Edison Scientific’s Kubernetes-based platform infrastructure powering thousands of persistent AI scientist workloads. This principal-level role owns cluster orchestration, custom operators, scaling, reliability, networking, storage, and infrastructure strategy.

Join Edison Scientific as a backend-focused full-stack engineer building the services, data pipelines, APIs, and user-facing features behind AI-powered scientific discovery. This on-site San Francisco role offers end-to-end ownership on a mission-driven Product Engineering team.

Frontend Engineer building a high-performance scientific discovery platform that helps scientists integrate AI into their research workflows. The role focuses on intuitive interfaces, real-time visualizations, and scalable design systems.

Build and evolve production AI scientist agents that accelerate scientific discovery and medicine development. You’ll combine software engineering, LLM application development, agent architecture, and real-world customer insight to make Edison’s agents more capable and reliable.