Who we are
DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and 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 and over 1M RPS at peak, we process events in real-time at low latencies (ms) and 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 and measure the viewability and user’s engagement throughout the ad’s lifecycle.
We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.
What will you do
You will build a variety of models to analyze millions of videos and images every day across the web, Smart TVs, YouTube, Facebook, Twitter, Instagram, TikTok and 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, and 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 and 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, and Deep Learning algorithms.
Previous experience in at least one of: object detection, tracking, sizing and runtime optimization.
Hands-on experience with toolkits for Deep Learning such as TensorFlow/PyTorch/Sklearn/OpenCV/sk-Image and 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 and time series
Experience with NLP
