Swayable is a fast-growing cloud data product that doubles the impact of advertising by empirically measuring how it changes people's opinions. Our partners include Amazon, Meta, IBM, DoorDash, Airbnb, MIT, Stanford, and multiple Democratic presidential campaigns. We were founded in 2018 by physics PhDs and are backed by leading technology and social impact investors, including Y Combinator. This position is the perfect opportunity to join a fast-moving, high-impact, mission-oriented startup.
Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL.
Swayable is seeking a Senior Python Engineer that blends 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.
Swayable partners with the world's leading brands and advocacy groups to change minds, behaviors and attitudes.
We are hiring in data science, full stack engineering, data visualization, design, and operations. We welcome unsolicited CVs from anyone, and especially encourage women and people from under-represented groups to talk to us.
Salary
$150,000 - $220,000
Location
Remote
Experience
3+ years
Last stage
Seed
Investors
James Slezak
James Slezak
LinkedInNo applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.