Machine Learning Engineer, Identity
Hybrid (San Francisco)full-timePosted 11mo ago
About the role
Develop and deploy OCR solutions for identity verification to automate and enhance user experience, while maintaining regulatory compliance.
Responsibilities
- 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, etc.
- 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 the way we evaluate and monitor our model and system performance
- Collaborate with stakeholders and drive projects involving a wide variety of technologies and systems to successful completion
Qualifications
- An advanced degree in a quantitative field (e.g. statistics, mathematics, computer science)
- Experience in software engineering in a production environment
- 5+ years industry experience working on end-to-end OCR systems
- Experience designing computer vision algorithms and training machine learning models for text detection, recognition, document layout recognition, and language detection
- Knowledge about data manipulation for analysis, including querying data, defining metrics, or slicing data to evaluate hypotheses
Skills
Required:Natural Language ProcessingComputer Vision
Last updated Mar 12, 2026. Interested? Apply on the company site.
About Stripe
Economic infrastructure for the internet.
Launched out of Y Combinator’s 2009 Summer batch, Stripe is a global technology company that builds economic infrastructure for the internet. Businesses of every size—from new startups to public companies—use our software to accept payments and manage their businesses online Stripe is a proud partner of YC companies—from Airbnb (S09) to Defog (W23)—to help them grow their businesses and increase the GDP of the internet.
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