Principal Applied Machine Learning Engineer

Posted on 2/8/2023

ONE Finance

ONE Finance

501-1,000 employees

Platform for personal finance management


Compensation Overview

$200k - $215kAnnually

Senior, Expert

United States

  • Late Career (More than 10 years)
  • An act-like-an-owner mentality. We have a bias toward taking action
  • Education in machine learning, computer science, or other technical fields
  • PhD / Master's or 10+ years of comparable working experience
  • Experience leading ML programs and / or teams
  • Competitive cash
  • Benefits effective on day one
  • Early access to a high potential, high growth fintech
  • Generous stock option packages in an early-stage startup
  • Remote friendly (anywhere in the US) and office friendly - you pick the schedule
  • Flexible time off programs - vacation, sick, paid parental leave, and paid caregiver leave
  • 401(k) plan with match
  • As a Principal Applied Machine Learning Engineer, your mandate is to optimize the core of financial services decisioning. We have a unique opportunity to design and implement a statistical framework from the ground up. By reducing inefficiencies, reducing losses, and automating infrastructure our team allows ONE to create the best possible financial products for our customers. You will work closely with the Data, Product, and Risk team(s). This role reports to the Decision Science Lead under Data & Risk
  • This role is responsible for:

The company provides a comprehensive platform for personal finance management, integrating fintech, banking, and consumer products. The product is supported by Walmart and Ribbit Capital, utilizing advanced technologies to streamline financial management.

Company Stage


Total Funding



New York, New York



Growth & Insights

6 month growth


1 year growth


2 year growth