Sr Machine Learning Engineer, Ad Platforms


Job Overview

Key Qualifications

  • Experience in Algorithms, Architecture, Artificial Intelligence, Compilers, Database, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics (game theory, auction theory, quantitative analysis), or Systems Software implementation of new algorithms
  • Proficiency with databases, SQL, and scripting languages
  • Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics
  • Ability to take requirements from design through to implementation both independently and with larger teams
  • Closely working with operational teams on deployment, monitoring, management concerns
  • Experience with recommendation, personalization, ads, ranking, or search
  • Experience with distributed machine learning architectures or federated learning
  • Description

    You will have the opportunity to work on a platform with extreme scale requirements. You should have experience developing and implementing ad algorithms, yield optimization solutions and network data processes within an ad network. You have excellent understanding of scalable architectures including operational concerns. You have the ability to be a great teammate under tight deadline constraints is key to success.

    Education & Experience

    MS/PhD in computer science or equivalent field with 3+ years relevant experience.

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