Job Description

Realize your potential by joining the leading performance-driven advertising company!

As a Staff Machine Learning Scientist, you’ll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the company’s revenue


To thrive in this role, you’ll need:

  • M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field

  • 6+ years of hands on experience with coding Deep learning / Machine learning / Reinforcement-learning / Statistical modeling based solutions

  • 4+ years Experience modeling auction dynamics in first-price environments (bid shading, market price modeling, win-rate prediction, clearing-price / floor-price estimation)Strong knowledge in Python

  • Good knowledge in Java, Scala or C#

  • Experience in data analysis and visualization and strong knowledge in SQL

  • Possess strong problem solving and critical thinking skills

    • Bonus points if you have:

  • Deep understanding of RTB ecosystems and standards (OpenRTB), header bidding (Prebid client/server), and ad-exchange integrations

  • Hands-on experience with budgeting/pacing, frequency capping, throttling, and guardrails to meet margin/CPA/ROAS targets

  • Strong grasp of measurement and calibration (CTR/CVR calibration, eCPM modeling, lift studies) and experimentation (A/B tests, multi-armed bandits)

  • Experience in developing models using deep learning techniques and tools

  • Experience in developing software within a distributed computation framework

    • How you’ll make an impact:


    As a Staff Machine Learning Scientist, you’ll bring value by:

  • Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them

  • Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the company’s revenue

  • Work on a daily basis with some of the hottest trends in today’s job market: machine/deep learning, big data analytics/engineering and cloud computing

  • Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems

  • Influence directly on the way billions of people discover the internet

  • Work on such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more

    • Our tech stack:


    Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker

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