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Staff ML Software Engineering Manager, Google Display Ads

Google· Google Display Ads (GDA) Machine Learning team
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Mountain View, CA, USA$207k - $300kFull-timePosted 2w ago

About the role

Lead and mentor a high-impact ML/Software engineering team focused on generative retrieval, LLM-driven content intelligence, and production-scale retrieval/personalization systems for Google Display Ads.

Responsibilities

  • Define Technical Goal and Retrieval Architecture: Set the long-term roadmap and architect high-performance model architectures, embeddings, generative retrieval, and systems at scale.
  • Drive AI Innovation: Pioneer the integration of cutting-edge AI and LLMs to deliver step-change improvements in relevance, model performance, and system efficiency.
  • Optimize Infrastructure and Compute: Lead training and serving optimization strategies, maximizing TPU/GPU cluster utilization with high-performance production code (e.g., C++).
  • Manage and Mentor Engineers: Lead and grow a high-performing team of ML and software engineers, providing technical guidance, driving execution, and elevating engineering excellence.
  • Collaborate Across Functions: Partner cross-functionally with ML Research, Product Management, and Infrastructure teams to translate advanced concepts into impactful, production-ready systems.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
  • 2 years of experience in a people management or team leadership role.
  • Experience in software engineering for recommendation systems or feed ranking architectures.

Skills

Required:Technical leadershipMachine Learning architectureGenAI / LLM techniques
Nice to have:C++ production code

Benefits

  • Learn more about benefits at Google (link provided in posting)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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