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Staff Software Engineer, AI/ML, ML Infrastructure, Search Ads

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Hybrid (Mountain View, CA; Pittsburgh, PA)$207k - $300kFull-timePosted 2w ago

About the role

Software engineering role focused on AI/ML infrastructure and machine learning tooling for Google Ads, with emphasis on training/serving infrastructure, modeling, and collaboration with research teams.

Responsibilities

  • Work across many different aspects of machine learning infrastructure and modeling.
  • Change infrastructure (training and serving) to support new modeling techniques and products.
  • Prototype new infrastructure, automation, workflows, and tooling. Analyze and debug performance, and make improvements.
  • Improve robustness, reliability, and usability of infrastructure. Collaborate closely with other members of our team and partners to build systems that take advantage of and integrate seamlessly across our ecosystem.
  • Engage with modeling teams to explore pain points and novel use cases. Research emerging technology and make trade-off decisions on immediate wins vs longer-term stability.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience programming in Python or C++.
  • 5 years of experience testing, and launching software products.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 3 years of experience with software design and architecture.
  • 2 years of experience with GenAI techniques (e.g., large language models, multi-modal, large vision models) or with GenAI-related concepts (e.g., language modeling, computer vision).

Skills

Required:PythonC++Machine Learning infrastructureSoftware design and architectureGenAI techniques

Benefits

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

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