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DoubleVerify // digital media measurement software & analytics
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Who we are

DoubleVerify is a big data & analytics company. We track & analyze tens of billions of ads every day for the biggest brands in the world like Apple, Nike, AT&T, Disney, Vodafone, & most of the Fortune 500 companies. If you ever saw an Ad online via Web, Mobile, or CTV device then there are big chances that it was analyzed & tracked by us. 

We operate at a massive scale, our backend handles over 100B+ events per day, we analyze & process those events in real-time while making decisions on the environment where the ad is running & all the user interactions during the Ad display lifecycle. We verify that all Ads are Fraud Free, Brand Safe, in the right Geo & highly likely to be viewed & engaged, all that in less than a fraction of a second.

We are global, we have R&D centers in Tel Aviv, New York, Finland, Belgium, Berlin, & San Diego. We work in a fast-paced environment & have a lot of challenges to solve. If you like to solve big data challenges & want to help us build a better industry then your place is with us.

What will you do

You will build a variety of models to analyze millions of videos & images every day across the web, Smart TVs, YouTube, Facebook, Twitter, Instagram, TikTok & more to detect the content categories they are about.

You will work with huge scales, in a cutting edge environment with a superb team, building advanced ensembles of models.

Your work will help advertisers avoid negative or irrelevant content, & target the type of content that is most relevant to their brand, by doing that you help them feel comfortable to invest their money in online free platforms & keep the web free for all.

Who you are

  • BSc. in Computer Engineering/Electrical Engineering/Physics /Computer Science, a related technical field from a leading institution or equivalent experience.
  • Strong background, 5+ years of experience required in classical Computer Vision, Machine Learning, & Deep Learning algorithms.
  • Previous experience in object detection, tracking, sizing & runtime optimization.
  • Hands-on experience with toolkits for Deep Learning such as TensorFlow/PyTorch/Sklearn/OpenCV/sk-Image & alike.
  • Hands-on experience with building novel deep learning architectures that made it to production.
  • A team player with good communication skills.
  • Highly motivated with a passion for technological innovation.
  • Advantage:
    • Extensive background in physics
    • Experience with DSP & time series
    • Experience with NLP

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