Startups · AI

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

Google · United States · On-site

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About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 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
More about this role
  • 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.
  • 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...

Read the full posting on Google's site ↗

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