
Sr. Software Engineer- ML Team
2 days ago
Who we are
We're looking for a Senior Software Engineer to join our ML team working in Tel Aviv.
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, processing events in real-time at low latencies (ms) and analyzing over 2.5M video years every day. We verify that all ads are fraud-free, appear next to appropriate content, reach the right audience, and measure viewability and user 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 many challenges to solve. If you like to work in a large-scale environment and want to help us build products that have a significant impact on the industry and the web, then your place is with us.
What will you do
- Join a team of experienced engineers to build backend infrastructure (data processing jobs, micro-services) and 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.
- Lead projects by architecting, designing, and implementing solutions that will impact the core components of our system.
- Develop and maintain scalable distributed systems in a Big Data environment using stream processing technologies such as Akka Streams, Kafka Streams, or Spark.
Who you are
- 4+ years of experience coding in an industry-standard language such as Kotlin, Java, Scala, or Python.
- Demonstrated interest in machine learning and advancements in the field, including familiarity with MLOps tools and frameworks.
- Deep understanding of Computer Science fundamentals: object-oriented design, functional programming, data structures, multi-threading, and distributed systems.
- Experience working with various Big Data technologies and tools (DataBricks, Snowflake, BigQuery, Kafka, Spark, Airflow, Argo) at scale.
- 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 team player with excellent collaboration and communication skills.
Nice to have
- Hands-on experience with MLOps tools (MLFlow, Ray, Seldon, Kubeflow, Vertex.AI, SageMaker, etc.), ML algorithms, and frameworks (PyTorch, TensorFlow, HuggingFace, Sklearn, etc.).
- Experience in the AdTech world.
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