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Staff ML Software Engineer, Ads Modeling, Personalization, and Quality

Google
California, USA
Senior · 8+ years experience
Onsite
USD 207000-300000 / year
Discovered 3 days ago

Full Job Posting

Responsibilities

  • Design new deep learning based ML models to predict users’ interaction with different ad formats across Google’s various ad delivery channels.
  • Incorporate and engineer input features from ad creatives, publisher pages/content, as well as users’ personalized ad history to improve models’ accuracy.
  • Improve the efficiency and reliability of ML models by designing novel model architectures and adopting development and release processes.
  • Debug and troubleshoot advertiser performance problems.
  • Work with Product Management, UX, and partner teams to design and deliver new ad experiences. Leverage data and metrics to help evaluate product success and drive business decisions.

Minimum qualifications:

  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience with ML/AI algorithms and tools, deep learning or other AI/ML modeling.
  • Experience in the digital Ads ecosystem.

Preferred qualifications:

  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex organization involving cross-functional, or cross-business projects.
  • Experience with advertising products, quality work in ads, or with statistical modeling and experimentation/analysis.
  • Experience in quality or modeling engineering teams.

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