Senior Engineer, Swayable
AI and Scientific Computing
$150-220k
Consumer opinion testing
Be an early applicant
Consumer opinion testing
21-100 employees
Be an early applicant
$150-220k
21-100 employees
Company mission
To accelerate social and economic progress by making scientific insights instantly accessible to decision-makers.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- Technology stack:
- Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL
Our take
Campaigning, whether for a brand, a charitable cause, or a political office, is getting harder by the year. Siloed demographics, patchy data, and bad market research means many messages aren’t getting through - something that Swayable is looking to change.
The company essentially runs randomized A/B testing on campaign videos to see which is the most persuasive for their clients. Swayable pulls demographic audiences from sites like Facebook, Amazon Mechanical Turk, and Fiverr, and returns analysed performance results to its customers within 12-24 hours.
This kind of rapid-turnaround market insight is crucial for organizatinos looking to fine-tune their messaging. It won the company itself good business, too - Swayable began with Y-Combinator, and has gone on to score a remarkable slate of clients including the Biden Harris campaign, Amazon, Airbnb, and Paramount.
Swayable’s express commitment to truth-telling and fighting misinformation is a smart play in today’s climate. With an impressive team of physicists and founders at the helm, Swayable is in a strong position to continue winning big business.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Commission structure
- Equity options
- Full healthcare coverage with no employee contribution required
- Generous PTO and parental leave
- 401K
- Opportunity to support some of the most important storytelling and social change campaigns in the world
Company values
- Experiment - Our work is an experiment, from the company itself down to each feature and client discussion. Every belief is a hypothesis we are validating. We measure clear metrics to determine success
- Empathy - Everything we do starts with empathy: for customers, respondents, and each other. We work hard to actively understand real problems
- Fail fast - Most experiments don't succeed. We need to do lots of them efficiently, to find the winners. Which means we aim to fail fast, and not punish failure
- Zero-drama professionalism - Success means contributing to a strong culture of problem-solving and owning the outcome that supports everyone doing their best work at all times
- Debate and commit - We are not conflict-averse over ideas. We always play the ball, not the person. Once we take a decision, all of us commit 100% to supporting it
- Agile design thinking - We nurture the early ideas of others and are intentional about when we do divergent thinking (building new ideas) versus convergent thinking (narrowing and selecting options). We use agile practices to adapt to new information
- Caring meritocracy - We challenge and support everyone to become their absolute best, so we have star performers in every role and people have strong career trajectories
- Feedback culture - We strive to create a strong culture of constructive supportive feedback in all our work so that we are continually improving
Company HQ
Midtown Manhattan, New York, NY
Articles
Leadership
James Slezak
(CEO & Co-Founder)Has founding experience with Win Back Respect, Purpose, Peers.org, and New Economy Lab. Along the way has also worked as a McKinsey project lead, and spent time in various director roles at The New York Times.
Valerie Coffman
(CTO & Co-Founder)Previously an NIST physicist, before moving on to found Feastie, and then taking up a CTO/Chief Science Officer role at Xometry.
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