Machine Learning Engineer, Identity

Economic infrastructure for the internet.
Machine Learning
Staff Software Engineer
Remote
5,000+ Employees
6+ years of experience
AI · Finance

Description For Machine Learning Engineer, Identity

Stripe, a leading financial infrastructure company for the internet founded in 2009, is seeking a Machine Learning Engineer to join their Identity team. This role focuses on building and implementing cutting-edge OCR solutions for identity verification, a critical component of their economic infrastructure. The position combines advanced computer vision, machine learning, and practical software engineering to create robust identity verification systems.

The role involves working with state-of-the-art technologies like TensorFlow, PyTorch, and OpenCV to develop sophisticated OCR algorithms. You'll be responsible for designing and implementing systems for text detection, document layout recognition, and language detection, while maintaining high performance and user experience standards.

This is an excellent opportunity for someone with strong technical expertise in machine learning and computer vision who wants to impact how businesses handle identity verification globally. The role offers the chance to work on challenging technical problems while contributing to a product that helps platforms automate regulatory compliance and user safety.

Stripe's mission of building the internet's economic infrastructure makes this role particularly impactful. As part of a company that operates at significant scale but still has enormous growth potential, you'll have the opportunity to shape the future of online identity verification while working alongside some of the industry's best talents.

Last updated 6 days ago

Responsibilities For Machine Learning Engineer, Identity

  • Define and drive the vision for OCR practice for Stripe's Identity product
  • Design and deploy new OCR algorithms using tools such as Tensorflow, PyTorch, OpenCV
  • Design systems for text detection and extraction, document layout recognition, and language detection
  • Iteratively improve document detection and extraction models
  • Explore green-field projects and convert abstract requirements into concrete deliverables
  • Improve model and system performance evaluation and monitoring
  • Collaborate with stakeholders and drive projects to successful completion

Requirements For Machine Learning Engineer, Identity

Python
  • An advanced degree in a quantitative field (e.g. statistics, mathematics, computer science)
  • 5+ years industry experience working on end-to-end OCR systems
  • Experience designing computer vision algorithms and training machine learning models
  • Knowledge about data manipulation and analysis
  • Experience in software engineering in a production environment

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