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.