Senior Machine Learning Engineer
Confirmed live in the last 24 hours
Propel

51-200 employees

Financial health management mobile app
Company Overview
Propel's mission is to build modern, respectful, effective technology that helps low-income Americans improve their financial health. The company has a free mobile app, called Providers, that helps users manage their benefits, save money, and earn income.
Social Impact

Company Stage

Series B

Total Funding

$68.3M

Founded

2014

Headquarters

Brooklyn, New York

Growth & Insights
Headcount

6 month growth

2%

1 year growth

-6%

2 year growth

45%
Locations
Remote in USA • Brooklyn, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Structures & Algorithms
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Natural Language Processing (NLP)
Requirements
  • Deep experience designing, building, shipping, and maintaining complex full-stack software
  • Experience with a startup environment or the ability to operate effectively when faced with ambiguity
  • Deep knowledge and experience with machine learning algorithms and libraries
  • Deep experience with building and improving recommender systems
  • Strong communication skills across technical and non-technical audiences and topics
  • Eagerness to learn new techniques, strong prioritization skills, the ability to quickly run an experiment with newly implemented models, and the ability to scale up use of that model to a large production environment
  • Fluency in Python or a willingness to learn and specialize in this language
  • Passion for making a difference in the lives of our users
  • Nice to have: Experience with or knowledge of government services, particularly safety net services like SNAP, WIC, TANF, SSI, SSDI, Medicaid, Section 8
  • Nice to have: Experience working on advertising platforms
Responsibilities
  • Build software systems used by millions of low-income Americans, helping to put dollars back in their pockets
  • Lead Propel in building machine learning infrastructure that all teams can take advantage of
  • Continually improve how ad content is matched to users, how customer ad budget is spent, and how to distribute ad impressions
  • Continually source new machine learning and recommender system innovations from industry, academia, etc
  • Create software that is reliable, testable, scalable, and maintainable
  • Effectively communicate with team members during projects, code review, etc.
  • Contribute to building our eng culture and processes as we continue to scale
  • Collaborate on deciding on the right projects, building great solutions, and helping your team succeed