Software Engineer, YouTube Ads Machine Learning

YouTubeMountain View, CA
83d$141,000 - $202,000

About The Position

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. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The YouTube Ads ML team is a research focused product team where we apply State-of-the-Art (SOTA) machine learning techniques for making ad recommendations on YouTube with the goal to deliver an ad experience which is good, useful, relevant and personalized to the user's interests and preferences. Fulfill advertiser goals by identifying high value users who will purchase advertiser's products and services. Generate business to keep ad content free for YouTube users and support the creator ecosystem. Research, design, apply and launch innovative machine learning techniques. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Requirements

  • Experience in software engineering and development.
  • Knowledge of machine learning techniques.
  • Ability to work on large-scale systems and distributed computing.
  • Familiarity with information retrieval and data storage.

Nice To Haves

  • Experience with artificial intelligence and natural language processing.
  • UI design and mobile development experience.
  • Leadership qualities and versatility in problem-solving.

Responsibilities

  • Work on a specific project critical to Google's needs.
  • Apply State-of-the-Art machine learning techniques for making ad recommendations on YouTube.
  • Fulfill advertiser goals by identifying high value users who will purchase advertiser's products and services.
  • Generate business to keep ad content free for YouTube users and support the creator ecosystem.
  • Research, design, apply and launch innovative machine learning techniques.

Benefits

  • Base salary range of $141,000-$202,000.
  • Bonus and equity options.
  • Comprehensive benefits package.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Industry

Broadcasting and Content Providers

Education Level

Bachelor's degree

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