Machine Learning Modeler, Ecommerce

  • San Francisco, CA
  • Employees can work remotely
  • Full-time

Company Description

Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.

Job Description

Content is king — Square merchants succeed when their content conveys the story and value of their products effectively. Yet the average merchant is not an expert in product photography, copywriting, SEO, or design. Furthermore, the average merchant has many existing sources of content available to them, but digitizing them to put them on an online store requires tedious manual effort. These factors hinder merchants from putting their best foot forward and starting selling online quickly.

The Square Ecommerce ML team focuses on removing these frictions by using ML to help merchants import, manage, and improve their content. We have successful applications for some of these problems, but we're still discovering the best ways to accomplish this and the best applications for ML in this context. We're looking for a creative ML Engineer that is interested in building merchant-facing products, that is excited about finding novel ways of applying existing ML techniques to create exciting new products, and that is comfortable finding the right balance of algorithmic performance and simplicity to reduce time-to-market.

You will:

  • Work on deep learning-based Natural Language Processing (NLP) and Computer Vision (CV) applications to improve document understanding, merchant site content, and merchant photography.
  • Help procure, curate, and QA annotated data for new document parsing applications as well as for computer vision applications.
  • Identify and use existing SOTA models, or build custom models based on SOTA approaches in NLP and CV, by reviewing the literature to identify best solutions to merchant problems.
  • Work with product, design, and web/mobile engineering stakeholders to productionalize models into merchant-facing features by deploying them to services or mobile applications.
  • In the long term, support or independently drive discovery of novel applications of ML to text and image content import, classification, and transformation.

Qualifications

You Have: 

  • A Bachelor's degree with 2-3 years of experience in software development or a MSc/PhD with 0-2 years of experience.
  • Already graduated or will be able to start working full-time in the next month.
  • A strong modeling background, and experience building pipelines, modeling, and experimenting in frameworks like Keras or Pytorch.
  • Experience training deep learning models for NLP applications or CV applications. If recently graduated, candidate should have thesis work or publications in these fields or closely related ones.
  • Experience building services to serve ML applications in real-time, using technologies like Flask and MySQL.
  • Working knowledge with cloud services like AWS, GCS, and their command line utilities.
  • Experience working on ML projects end to end while collaborating with a variety of stakeholders.

Preferred: 

  • Experience modifying SOTA deep learning architectures and experimenting with them to improve model performance.
  • Demonstrated technical leadership and initiative in previous projects.
  • Experience driving ML projects from beginning to end independently.
  • The ability to convert open-ended product requirements into concrete ML solutions with a well-defined scope.

Additional Information

Preferred: 

  • Experience modifying SOTA deep learning architectures and experimenting with them to improve model performance.
  • Demonstrated technical leadership and initiative in previous projects.
  • Experience driving ML projects from beginning to end independently.
  • The ability to convert open-ended product requirements into concrete ML solutions with a well-defined scope.

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Square is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Perks

We want you to be well and thrive. Our global benefits package includes:

  • Healthcare coverage
  • Retirement Plans
  • Employee Stock Purchase Program
  • Wellness perks
  • Paid parental leave
  • Paid time off
  • Learning and Development resources

Square, Inc. (NYSE: SQ) builds tools to empower businesses and individuals to participate in the economy. Sellers use Square to reach buyers online and in person, manage their business, and access financing. Individuals use Cash App to spend, send, store, and invest money. And TIDAL is a global music and entertainment platform that expands Square's purpose of economic empowerment to artists. Square, Inc. has offices in the United States, Canada, Japan, Australia, Ireland, Spain, Norway, and the UK.

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