Machine Learning Intern

Docsumo
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Job Description

As a machine learning intern, you will be designing and building systems that help Docsumo process visual data. Photographs or scan of documents are all rich with information if only we could teach a computer to interpret them. 

You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to finished apps.

We take a product-centric approach to research & development, working closely with our customers to identify opportunities and putting as much care into product design as raw capability.

Requirements

  • Course work / online degrees in machine learning, text processing, data science, information retrieval, deep learning, natural language processing, text mining, regression, classification, 
  • Musthave good knowledge of ML research projects. 
  • Good github profile 
  • Basic knowledge of: Numpy, Scikit-learn, Matplotlib, Pandas, OpenCV, TensorFlow and Keras
  • Theoretical and practical knowledge of databases and docker is plus
  • The candidate should be able to work 7-8 hours a day from Mon-Fri
  • Must be self-motivated, flexible, collaborative, with an eagerness to learn

Responsibilities

  • Ability to understand the business problem, identify the key challenges, formalize the problem algorithmically, and prototype solutions
  • Willbe responsible for delivering moderately ML solutions and various research projects.

Company Info.

Docsumo

Docsumo is document AI software with Intelligent OCR technology helps you convert unstructured documents such as pay stubs, invoices and bank statements to actionable data. Works with documents in any format with minimal setup.

  • Industry
    Information Technology,Artificial intelligence
  • No. of Employees
    36
  • Location
    San Francisco, CA, USA
  • Website
  • Jobs Posted

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Docsumo is currently hiring Machine Learning Internship Jobs in San Francisco, CA, USA with average base salary of $92,030 - $125,030 / Year.

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