Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a MTS (Full-stack, Backend-Focused, Python), you will 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. 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 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

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, 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.
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.

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

Experience Level

5+ years

Salary/Compensations

$175,000- $240,000

Benefits

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

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.

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.