Senior Machine Learning Engineer at Swayable

About Swayable Swayable is a data science platform that doubles the impact of advertising by empirically measuring how it changes people's opinions. Our customers include high-profile political campaigns, advocacy organizations, and brands. We launched in 2018 out of Y Combinator, gained immediate traction, and had a significant impact on the 2018 and 2020 US elections. We're now continuing our rapid growth by enabling the same scientific measurement of ads for major global brands. This position is the perfect opportunity to join a fast-moving, high-impact, mission-oriented startup. Technology Stack Swayable uses MongoDB, Python (Numpy, Scipy, Pandas, Celery, Flask), Javascript ([Node.js](http://node.js/), [Express.js](http://express.js/), [Vue.js](http://vue.js/)), and GraphQL. About the Role Swayable is looking for a Senior Machine Learning Engineer to advance the ML-based analytics engine that powers our core product. In this role, you will write production code that trains hundreds of machine-learning models, automatically, in the cloud, each day. You will work closely with your cross-functional team to build new features and solve novel problems across the spectrum of software engineering, data visualization, and science. The Senior Machine Learning Engineer will report to our CTO, Valerie Coffman, and work within our Scrum-lite work cycles but must be flexible and self-directed enough to get work done on their own. **Requirements** - You have a Bachelor's degree in Computer Science, Applied Math, Engineering, or Science. - You have 5+ years of professional experience building productized ML models with Python. - You have a deep understanding of machine learning algorithms. - You have experience with ML packages such as Tensorflow, Numpyro, and Scikit-learn. - You can write "vectorized code" using Numpy, Scipy, and Pandas. - You understand the concepts of software architecture and can design scalable, performant solutions. - You value code quality and write maintainable, testable code. **Preferred Qualifications** - You have knowledge of the constantly evolving toolset for MLOps including tools for workflow management, feature storage, and model monitoring. - You have experience with distributed, parallel computing. - You have experience with Celery, Flask, MongoDB, or JavaScript. - You believe in the scientific method and prefer to use data to drive decisions. - You can give and receive informed, actionable feedback on both technical and non-technical skills. - You are a strong communicator, especially in text. You can write documentation and discuss the tradeoffs of different implementations. Our team is centered in NYC and SF, with flexible work arrangements for remote work. We offer a benefits package that is well above-market. Swayable covers 100% of the health, dental, and vision insurance premiums for full-time employees. We also offer generous PTO, parental leave, equity, 401k, FSA, and an ongoing professional development stipend. We are an equal opportunity employer. We strive to promote an organizational environment that values diversity and fosters growth. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other basis prohibited by law. The team especially encourages applicants from underrepresented backgrounds.