Senior Software Engineer: AI
Swayable Open · verified Oct 24, 2026 At a glance
Senior Software Engineering role at Swayable. San Francisco · $175,000–$250,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build and refine the tools, methods and architecture behind high-performance computing for the analytics engine
- Turn AI, machine learning and data analysis into product features, working with engineers, data scientists and research staff
- Develop features and tackle technical problems spanning software engineering, data visualization and scientific work
- Maintain and improve systems that support the product’s analytical capabilities
What you bring
- At least five years building software for scientific or quantitative data-heavy work
- Strong command of scientific Python, machine learning, object-oriented and test-driven development, and vectorized code
- Experience designing, maintaining and tuning distributed or parallel computing systems
- You can create scalable, high-performance software and write code that stays maintainable and testable
Who this fits
This senior engineering role suits someone who combines Python development with scientific computing, machine learning and AI experience. You’ll work with engineers, data scientists and research staff; the role is based in San Francisco.
From the employer
About Swayable
Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (American Express, Airbnb, Paramount Pictures), technology companies (Anthropic, Meta, Amazon), academic researchers (MIT, Yale, Stanford) and mission-aligned civic advocacy campaigns (e.g. on climate, human rights and elections).
Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world’s most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands. Check our our values & culture deck to learn more: https://tinyurl.com/4zjchwzs
Technology stack
Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL.
About the role
Swayable is seeking a Senior Engineer blending Python software development expertise with scientific computing, machine learning, and AI experience to advance the state of the art analytics engine that powers our core product. In this role, you will be part of the team that productizes all AI, machine learning, and data analysis at Swayable. You will be responsible for building, maintaining, and continuously improving our tools, techniques, and architecture for high-performance computing. You will work with a talented and diverse team of engineers, data scientists, and research staff to build new features and solve novel problems across the spectrum of software engineering, data visualization, and science.
Requirements
- You have 5+ years of professional experience building scientific or quantitative data-intensive software.
- You have expertise in the scientific Python stack, object oriented and test-driven development, vectorized code, and machine learning.
- You have excellent problem solving skills and attention to detail.
- You have expertise in architecting, maintaining, and optimizing distributed, parallel computing systems.
- You keep up with the constantly evolving toolset for ML and AI Ops.
- You are knowledgeable about software architecture and can design scalable, performant solutions.
- You value code quality and write maintainable, testable code.
Preferred qualifications
- You have an advanced degree (MSc or Ph.D.) in STEM.
- You have a thorough knowledge of the Linux operating system.
- You have experience with Celery, and MongoDB.
- You believe in the scientific method and use data to drive decisions.
- You can give and receive informed, actionable feedback on technical and non-technical skills.
- You are experienced at mentoring junior engineers.
- You are a strong communicator, especially in text. You can write documentation and discuss the tradeoffs of different implementations.
Salary range: $175k-$250k
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