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About the Role
As a Principal Member of Technical Staff, you will help build and support Edison Scientific's core platform that automates scientific discovery. You will work across the stack designing and building backend services, APIs, and data pipelines, while also contributing to user-facing features. Your mission is to help build the tools, interfaces, and data systems that an AI scientist relies on. This role leans heavily toward backend engineering but involves regular collaboration with frontend engineers, designers, and researchers to deliver end-to-end functionality. Full-stack engineering here means owning features from concept to production, understanding system interdependencies, and building reliable foundations.
Responsibilities
- Help define the long-term technical architecture for the product platform.
- Lead the design, implementation, and maintenance of backend services, APIs, and databases.
- Drive engineering standards, reliability, and scalability across the organization.
- Partner with engineering leadership on technical strategy and roadmap planning.
- Mentor senior engineers and elevate engineering practices across teams.
- Build and extend data pipelines that support AI agents and research workflows.
- Implement monitoring, observability, and automated testing to ensure system reliability and uptime.
- Collaborate with engineering, product, 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, 10+ years of software engineering experience, with exposure to both backend and frontend development.
- Strong experience 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
- Version control
- CI/CD pipelines
- Automated testing
Location
- San Francisco
Work Type
- On-site
- Full-time
Experience Level
- Principal Member of Technical Staff
- 10+ years of software engineering experience
Salary/Compensations
- $175,000 - $240,000
- Offers equity
Benefits
- Competitive salary and equity
- Full healthcare coverage; 100% of premiums paid for employee and dependents
- Support for growing families, including a yearly new parent stipend and fertility coverage
- Mental health support through Rula
- 12 weeks of paid parental leave
- Pet care support with a yearly employer-funded stipend
- Commuter benefits
- 401(k) company matching
- Quarterly $300 health and wellness benefit
- Daily lunch provided in the 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.
- We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.
- We're a fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it.
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.