Director, Data Science

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.

You will lead teams of experienced Data Scientists - specializing mostly in CV - and focused on a mission to develop models that analyze and classify more than 50M videos and images on a daily basis from social platforms such as Meta, TikTok and YouTube, as well as websites and mobile apps.

DoubleVerify’s Brand Safety and Suitability solutions measure and optimize the suitability and contextual fit of brand advertiser’s digital ads, helping them protect their brand and advertise next to relevant content.

This is an exceptional challenge - not only due to its scale and the open ended domain - but because it requires analyzing and classifying content in all modalities, finding the hardest edge cases that these platforms did not detect on their own, and investing a lot in efficiency and accuracy due to our huge scale.

You will be critical to building the roadmap and strategy of content classification at DoubleVerify and have a pivotal role in the collaboration between global teams focused on the same mission with you: Content Policy, Labeling Operations, ML Engineering, and a few other engineering teams who connect with your systems.

• Lead and mentor teams of AI researchers working on computer vision and other modalities, enabling their innovation and collaboration.
• Charge the agile development of models into production at huge scales.
• Work closely with our ML Engineering team on building the platform that will facilitate the most advanced development, testing and deployment processes out there using an array of systems and services and custom solutions at our disposal.
• Stay up to date with the latest advancements in AI - making sure we are putting forward cutting edge techniques that give us competitive edge, operational efficiency and the most accurate models possible.

• Previous experience in leading Data Science groups.
• Previous experience with Computer Vision (deep and classic) - at least 8 years.
• Previous experience with putting big ML systems in production.
• Superb communication skills and team player.
• Agile mindset and experience in AI development.
• Previous experience with NLP, specifically LLMs - big plus.