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Salary: USD 175,000 - 240,000 / annual
Edison Scientific is building AI scientist agents to accelerate scientific discovery and the development of new medicines. The company is run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.
As a Member of Technical Staff (Full-stack, Backend-Focused, Python), you will help build and support the core platform that automates scientific discovery. You'll work across the stack designing and building backend services, APIs, and data pipelines, while also contributing to user-facing features that make those capabilities accessible and intuitive.
Key responsibilities include:
- Design, implement, and maintain backend services, APIs, and databases powering the scientific discovery platform
- Contribute to frontend features and workflows, partnering with design and frontend teammates to deliver cohesive user experiences
- Build and extend data pipelines supporting AI agents and research workflows
- Implement monitoring, observability, and automated testing to ensure system reliability and uptime
- Troubleshoot issues across the stack and proactively improve system quality
- Collaborate with engineering, design, and research teams to ship new AI-driven features and services
- Grow as a software engineer within a highly collaborative team working at the frontier of AI for science
The role is on-site at the San Francisco office in the Dogpatch neighborhood, described as a converted warehouse with high ceilings and open space. You'll be part of the Product Engineering team.
REQUIREMENTS:
- Typically 6+ years of software engineering experience with exposure to both backend and frontend development
- Strong proficiency in at least one backend language (Python, Node.js, etc.); Python required for interview process
- Experience designing and consuming APIs (FastAPI, REST; GraphQL a plus)
- Familiarity with frontend frameworks (React, Next.js, or similar) and modern web development practices
- Working knowledge of relational or document databases (PostgreSQL, MySQL, MongoDB, or similar)
- Exposure to cloud infrastructure (AWS, GCP, or Azure) and containerized environments (Docker; Kubernetes a plus)
- Experience with version control, CI/CD pipelines, and basic automated testing
- Strong curiosity, growth mindset, and eagerness to learn in a fast-moving environment
PREFERRED QUALIFICATIONS:
- Experience with data-heavy systems, scientific tooling, or ML/AI-adjacent platforms
- Prior work in startups or small teams with end-to-end ownership
