Who we are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track & analyze tens of billions of ads every day for the biggest brands in the world.

We operate at a massive scale, handling over 100B events per day & over 1M RPS at peak, we process events in real-time at low latencies (ms) & analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography & measure the viewability & users engagement throughout the ads lifecycle.

We are global, with HQ in NYC & R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium & San Diego. We work in a fast-paced environment & have a lot of challenges to solve. If you like to work in a huge scale environment & want to help us build products that have a huge impact on the industry, & the web - 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./M.Sc in Computer Engineering/Electrical Engineering/Physics /Computer Science, a related technical field from a leading institution or equivalent experience.

Strong background, 5+ years of industry experience required in classical Computer Vision, Machine Learning, & Deep Learning algorithms.

Previous experience in at least one of: 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.

Nice to have:

Experience with DSP & time series

Experience with NLP