Senior Software Engineer, Full Stack, Google Ads

Google Google · Big Tech · London, United Kingdom

Senior Software Engineer role at Google Ads, focusing on full-stack development to integrate ML/AI into advertising products for content creators. The role involves developing solutions from big data pipelines to end-user UIs, bringing AI from research to production, and monitoring systems. Requires experience in full-stack development, software design, and Machine Learning.

What you'd actually do

  1. Develop a deep understanding of the app ecosystem: how apps are developed, how app developers make money, and what the future holds with thousands of new vibe-coded apps being launched every day.
  2. Investigate innovative technical solutions to these challenges, especially bringing Google's AI out of the lab and into real apps with billions in annual business at stake.
  3. Design, build, roll out, and monitor systems that implement these solutions.
  4. Work with a great engineering team alongside partners from UX, Product, Sales and more, to keep Google AdMob as a trusted partner for many existing and future apps.

Skills

Required

  • full stack development
  • back-end development
  • front-end development
  • software design
  • software architecture
  • Machine Learning

Nice to have

  • Master's degree or PhD in Computer Science or related technical field
  • data structures
  • algorithms
  • technical leadership
  • Big Data

What the JD emphasized

  • bringing Google's AI out of the lab and into real apps with billions in annual business at stake.

Other signals

  • 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.
  • We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results.
  • bringing Google's AI out of the lab and into real apps with billions in annual business at stake.
  • This work can involve anything from big data pipelines to meticulous pixel-level analysis of apps, and comprehensive thinking from back-end to front-end to make everything work smoothly together.
  • Design, build, roll out, and monitor systems that implement these solutions.