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About the Role
As a Member of Technical Staff, you will help build and support Edison Scientific's 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. Your mission is to build an AI scientist and the tools, interfaces, and data systems it relies on. This role leans heavily toward backend engineering but requires regular collaboration with frontend engineers, designers, and researchers to deliver end-to-end functionality.
Responsibilities
- Design, implement, and maintain backend services, APIs, and databases that power the scientific discovery platform.
- Contribute to frontend features and workflows, partnering closely with design and frontend teammates to deliver cohesive user experiences.
- Build and extend data pipelines that support 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.
Requirements
- Typically, 6+ years of software engineering experience, with exposure to both backend and frontend development.
- Strong proficiency in at least one backend language (e.g., Python, Node.js), with an interest in deepening backend expertise.
- Experience designing and consuming APIs (FastAPI, REST; GraphQL a plus).
- Familiarity with frontend frameworks (e.g., 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, a growth mindset, and eagerness to learn in a fast-moving environment.
- Experience with data-heavy systems, scientific tooling, or ML/AI-adjacent platforms.
- Prior work in startups or small teams with end-to-end ownership.
Skills
- Python
- FastAPI
- REST
- GraphQL
- React
- Next.js
- PostgreSQL
- MySQL
- MongoDB
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- CI/CD
- Automated testing
Location
- San Francisco, CA
Work Type
- On-site
- Full-time
Experience Level
- 6+ years of software engineering experience
Salary/Compensations
- $175,000 - $240,000
Benefits
- Competitive salary and equity
- Full healthcare coverage; 100% of premiums paid for employee and dependents
- Yearly new parent stipend
- Fertility coverage through Carrot
- Mental health support through Rula
- 12 weeks of paid parental leave
- Yearly employer-funded pet care stipend
- Commuter benefits
- 401(k) company matching
- $300 health and wellness benefit quarterly
- Daily lunch provided in office
- Dinner provided when working late
- Regular team off-sites and company events
About the Company
- Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines.
- Ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.
Equal Opportunity
- Edison Scientific is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.