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Machine Learning Engineer, AI/ML Expert for Agents and TrustGraph, Google Ads

Google· Ads
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Mountain View, CA, USA$147k - $210kFull-timePosted 3d ago

About the role

Machine Learning Engineer role focused on AI/ML expertise for Agents and TrustGraph within Google Ads, combining Generative AI, distributed graph systems, and anti-abuse/ security technologies to protect users and optimize ad quality at scale.

Responsibilities

  • Contribute to existing documentation or educational content, adapt content based on product/program updates and user feedback.
  • Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, performance enhancements.
  • Build autonomous red-teaming and adversarial simulation frameworks to proactively probe web/app crawling infrastructure, uncover cloaking and evasion blind spots, and close the loop to harden production crawlers.
  • Design high-throughput graph pipelines, entity-resolution and expansion algorithms, semantic layers, and LLM-powered graph reasoning tools that make anti-abuse intelligence accessible across dozens of teams.
  • Write product or system development code. Work at the intersection of Generative AI, Distributed Graph Systems, and Adversarial Security/Anti-Abuse, with the flexibility to contribute across multiple projects.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in Python or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years experience with distributed systems.
  • 1 year of experience with end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging).
  • Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).

Skills

Required:PythonDistributed systemsGenAI / LLMsEnd-to-end ML

Benefits

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

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