|
Who we are
Were 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 & 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
- Join a team of experienced engineers to build backend infrastructure (data processing jobs, micro-services) & create automated workflows to process large datasets for machine learning purposes.
- Design & develop MLOps infrastructure to support our ML/AI models at scale, including CI/CD, automation, evaluation, & monitoring.
- Lead projects by architecting, designing, & implementing solutions that will impact the core components of our system.
- Develop & maintain scalable distributed systems in a BigData 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 & the advancements in the field, including familiarity with MLOps tools & frameworks.
- Deep understanding of Computer Science fundamentals: object-oriented design, functional programming, data structures, multi-threading, & distributed systems
- Experience working with various Big data technologies & tools (DataBricks, Snowflake, BigQuery, Kafka, Spark, Airflow, Argo) at scale
- Experience working in Docker/Kubernetes & 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 & communication skills.
Nice to have
- Hands-on experience with MLOps tools (MLFlow, Ray, Seldon, Kubeflow, Vertex.AI, SageMaker, etc.), ML algorithms & frameworks (PyTorch, TensorFlow, HuggingFace, Sklearn, etc.).
- Experience in the AdTech world
#Hybrid#
|
