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Engineering Manager - Machine Learning - Remote

Posted 8 weeks ago
Software Development
Full Time
USA

Overview

We are looking for an engineering manager to lead and grow a strong team of machine learning engineers that design, build, deploy, and operate ML-powered services that scale globally with Stripe.

In Short

  • Set the vision, goals, & strategy for the team based on company objectives
  • Lead by example in high-growth, high-impact, ambiguous environments
  • Build machine learning systems and pipelines for training, shipping, and operating machine learning models
  • Improve existing machine learning models via developing new ML features
  • Collaborate and execute projects cross-functionally with various teams
  • Ensure engineering outcomes meet or exceed established standards of excellence
  • Recruit, hire, scale, and develop an amazing team of engineers
  • Accelerate the delivery of models to production by leading continuous engineering improvements
  • Propose and implement innovative product ideas to reduce costs and combat fraud

Requirements

  • 3+ years of direct engineering management experience
  • 2+ years of experience working within a team responsible for developing ML models or infrastructure

Benefits

  • Opportunity to work on critical payment decisioning infrastructure
  • Be part of a mission to increase the GDP of the internet
  • Work in a high-impact environment
  • Collaborate with talented teams across the organization
  • Lead innovative projects in machine learning
Stripe logo

Stripe

Stripe is a leading financial infrastructure platform that empowers businesses of all sizes, from large enterprises to innovative startups, to accept payments, enhance revenue, and seize new business opportunities. With a mission to increase the GDP of the internet, Stripe provides tools that enable seamless and secure payment experiences, exemplified by its Link product, which allows consumers to check out quickly and efficiently across a vast network of merchants. The company is dedicated to driving growth and innovation in the financial technology space, offering a unique opportunity for professionals to contribute to the global economy.

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