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Job Overview

We operate at a massive scale, our backend handles over 100B+ events per day, we analyze and process those events in real-time while making decisions on the environment where the ad is running and all the user interactions during the Ad display lifecycle. We verify that all Ads are Fraud Free, Brand Safe, in the right Geo and highly likely to be viewed and 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 and San Diego, we work in a fast-paced environment and have a lot of challenges to solve. If you like to solve big data challenges and want to help us build a better industry then your place is with us.

What will you do

You will join a team of experienced engineers and help them in developing our innovative measurements products

  • Build, lead and grow a team of talented ML Engineers and be responsible for the ML models development life-cycle covering structured data, unstructured data NLP and Vision/AI.
  • Build backend infrastructure (data processing jobs, micro-services), create automated workflows to process large datasets for machine learning purposes.
  • Design and develop MLOps infrastructure to support our ML/AI models at scale, including CI/CD, automation, evaluation, and monitoring.
  • Evaluate various open-source tools to accelerate and orchestrate processes
  • Create ML/AI model A/B testing and impact analysis tools.

Who you are

  • B.Sc. in Computer Science/Mathematics/Engineering or equivalent practical experience
  • 2+ years of engineering management experience - preferably as part of the ML engineering team
  • At least 5+ years experience in backend/data engineering writing code that deployed and used in production
  • Proficient in Python and its ecosystem, knowledge of Scala/Java/Go - is a plus
  • Familiarity with various ML algorithms and frameworks (PyTorch, Tensorflow, HuggingFace, Sklearn, etc..)
  • Experience working with Big data technologies (DataBricks, Snowflake, BigQuery, Kafka, Spark, Airflow, Argo) at scale
  • Experience with MLOps tools (MLFlow, Kubeflow, Vertex.AI, SageMaker, etc)
  • Experience working in Docker/Kubernetes and cloud providers (GCP/AWS/Azure)
  • Result-oriented contributor with a "can do" attitude - take a task from concept to full implementation.
  • A versatile hands-on manager with a “getting-things-done” attitude

Nice to have

  • Experience in the AdTech world
  • Experience with natural language processing (NLP)

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DoubleVerify Overview

DoubleVerify is powering the new standard of marketing performance, giving advertisers clarity and confidence in their digital investment. Built on best practices, DV solutions create value for media buyers and sellers by bringing transparency and accountability to the market, ensuring ad viewability, brand safety, fraud protection, accurate impression delivery and audience quality across campaigns to drive performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most value out of their media spend by delivering best in class solutions across the digital ecosystem that help build a better industry.

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