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    Machine Learning Engineer, Identity - San Francisco, CA, United States - Stripe

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    [Full Time] Machine Learning Engineer, Identity at Stripe (United States) | BEAMSTART Jobs

    Machine Learning Engineer, Identity

    Stripe United States

    Date Posted

    25 Jun, 2022

    Work Location

    San Francisco, United States

    Salary Offered

    Not Specified

    Job Type

    Full Time

    Experience Required

    6+ years

    Remote Work

    Yes

    Stock Options

    No

    Vacancies

    1 available

    Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification is a core piece of economic infrastructure for online businesses. Great identity solutions can help platforms automate the process of satisfying regulatory obligations while keeping their users safe. Join Stripe to help build a service that empowers platforms to take the burden and cost out of identity verifications and scale globally with ease.

    We're looking for a Machine Learning engineer to help envision, build, and deploy novel approaches for using optical character recognition (OCR) on identity documents while maintaining a great user experience. This role is perfect for engineers interested in using computer vision and machine learning algorithms to build state-of-the-art OCR solutions.

    You will:Define and drive the vision for OCR practice for Stripe's Identity productDesign 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 detectionIteratively improve document detection and extraction modelsExplore green-field projects and convert abstract requirements into concrete deliverablesImprove the way we evaluate and monitor our model and system performanceCollaborate with stakeholders and drive projects involving a wide variety of technologies and systems to successful completionWe're looking for someone who has:An advanced degree in a quantitative field (e.g. statistics, mathematics, computer science) and experience in software engineering in a production environment5+ years industry experience working on end-to-end OCR systemsExperience designing computer vision algorithms and training machine learning models to solve text detection and recognition, document layout recognition, and language detection problemsKnowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesisNice to have: previous experience or interest in identity verification products

    About Stripe Payments infrastructure for the internet.

    Company Size: People Year Founded: Not Specified Country: United States Company Status: Actively Hiring Looking for Partners Looking for Clients Raising Funds

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