Member of Technical Staff, Senior Full-stack Engineer

Edison Scientific; San Francisco (CA); On-site; USD 175,000 - 240,000; Full time

Benefits offered by this job

Equity

Full healthcare coverage

Parental leave stipend

Mental health support

12 weeks paid parental leave

Commuter benefits

401(k) matching

Wellness stipend

Job summary

Edison Scientific, based in San Francisco, seeks a full-time MTS with a backend focus (Python) to build core platform services, data pipelines, and APIs. You’ll collaborate with frontend engineers, designers, and researchers to deliver end-to-end functionality.

The role emphasizes backend engineering with opportunities to contribute to frontend work, within the Platform team. Competitive salary, equity, and comprehensive benefits are offered.

Qualifications

• 5+ years of software engineering experience with backend and frontend exposure.
• Proficiency in Python (interview focuses on Python); experience with FastAPI/REST; GraphQL a plus.
• Experience designing and consuming APIs (REST/GraphQL); frontend familiarity with React/Next.js.

Responsibilities

• Design, implement, and maintain backend services, APIs, and databases powering the platform.
• Collaborate with frontend, design, and research teams to deliver cohesive user experiences.
• Build and extend data pipelines supporting AI agents and research workflows.
• Implement monitoring, testing, and observability to ensure reliability.
• Troubleshoot stack issues and improve system quality.

Skills

5+ years experience

Python

APIs

Frontend frameworks

Databases

Cloud infrastructure

CI/CD

Learning mindset

Tools

Docker

Kubernetes

AWS

GCP

Azure

Git

Job description

About Us

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.

The Role

As a MTS (Full-stack, Backend-Focused, Python) you’ll help build and support our 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.

Our mission is to build an AI scientist, and you’ll help build the tools, interfaces, and data systems it relies on. While this role leans heavily toward backend engineering, you’ll regularly collaborate with frontend engineers, designers, and researchers to deliver end-to-end functionality.

At Edison Scientific, full-stack engineering isn’t about doing “a little bit of everything.” It’s about owning features from concept to production, understanding how systems fit together, and building reliable foundations that accelerate humanity’s ability to ask bigger questions- and find answers faster.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.

This position is part of the Platform team.

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.

Qualifications

• Typically, 5+ 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. (our interview process requires Python)
• 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.

Bonus points for

• Experience with data-heavy systems, scientific tooling, or ML/AI-adjacent platforms.
• Prior work in startups or small teams with end-to-end ownership.

Salary

$175,000- $240,000

• Offers equity

Why join us?

We're a Fast-moving, Mission-driven Culture Where Smart People Do Their Best Work And Actually Enjoy Doing It. We Also Offer Full-time Employees The Following

• Competitive salary and equity
• Full healthcare coverage; we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability
• 12 weeks of paid parental leave for maternity, paternity, and adoption
• Pet care support with a yearly employer-funded stipend for your animal companions
• Commuter benefits so you can pay for transit and parking with pre-tax dollars
• 401(k) company matching
• $300 health and wellness benefit quarterly
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team off-sites and company events

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.

Compensation Range: $175K - $240K