Senior Software Engineer: AI

SwayableNew York City, NY

About The Position

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. The technology stack Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL. 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

  • 5+ years of professional experience building scientific or quantitative data-intensive software.
  • Expertise in the scientific Python stack, object oriented and test-driven development, vectorized code, and machine learning.
  • Excellent problem solving skills and attention to detail.
  • Expertise in architecting, maintaining, and optimizing distributed, parallel computing systems.
  • Keeps up with the constantly evolving toolset for ML and AI Ops.
  • Knowledgeable about software architecture and can design scalable, performant solutions.
  • Values code quality and writes maintainable, testable code.

Nice To Haves

  • An advanced degree (MSc or Ph.D.) in STEM.
  • Thorough knowledge of the Linux operating system.
  • Experience with Celery, and MongoDB.
  • Believes in the scientific method and uses data to drive decisions.
  • Can give and receive informed, actionable feedback on technical and non-technical skills.
  • Experienced at mentoring junior engineers.
  • Strong communicator, especially in text.
  • Can write documentation and discuss the tradeoffs of different implementations.

Responsibilities

  • Building, maintaining, and continuously improving tools, techniques, and architecture for high-performance computing.
  • Productizing all AI, machine learning, and data analysis at Swayable.
  • Working 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.
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