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Software Engineer, AI / ML, YouTube Ads Creative Optimization

Software Engineer, AI / ML, YouTube Ads Creative Optimization

MediabistroMountain View, CA, United States
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Software Engineer, AI / ML, YouTube Ads Creative Optimization

YouTube is located in Mountain View, CA, USA

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  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with one or more of the following : Speech / audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications :

  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures or algorithms.
  • Experience in areas such as deep learning, natural language processing, computer vision, or large language models.
  • About the job

    Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. The YouTube Ads Creative Optimization (YACO) team is at the forefront of revolutionizing YouTube Ads through the power of Machine Learning and Generative Artificial Intelligence (AI). Our mission is to empower advertisers with creative improvement solutions that automatically generate and optimize high-performing ad creatives.

    Responsibilities

  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
  • Contribute to existing documentation or educational content and adapt content based on product / program updates and user feedback.
  • Triage product or system issues and debug / track / resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Implement solutions in one or more specialized ML areas, utilize Machine Learning (ML) infrastructure, and contribute to model improvement and data processing.
  • Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity / expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

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    Software Engineer • Mountain View, CA, United States

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