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Staff AI/ML Engineer, Cloud AI Research

Google· Cloud AI Research
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Sunnyvale, CA, USA$207k - $300kFull-timePosted 3d ago

About the role

Staff AI/ML Engineer role focused on building autonomous AI agents and agentic systems to accelerate AI engineering and enterprise solutions, operating as an Ambiguity Buster and leading rapid prototyping of agent state machines and tooling for Google Cloud.

Responsibilities

  • Lead 2–4 week "Strike Sprints" to rapidly prototype advanced agent state machines, tool-use orchestration and reflection loops, transforming boilerplate programming into intent-driven AI topologies.
  • Partner with product and engineering teams via Forward Deployed Engineering (FDE), embedding into workflows to translate novel agentic prototypes into scalable enterprise solutions.
  • Build generalizable horizontal agents (e.g., AutoResearch and AutoFounder) to accelerate engineering/researcher velocity and automate end-to-end business value generation across Google.
  • Develop state-of-the-art agent architectures, planning frameworks and self-improving foundation models to advance autonomous AI systems.
  • Collaborate across Google to disseminate technical playbooks and agentic frameworks and optionally publish breakthroughs at ML conferences.

Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience.
  • 8 years of experience in software development, including coding experience in Python, C++, Java, JavaScript, or R.
  • 5 years of experience leading ML system design and optimizing ML infrastructure (e.g., distributed training, model deployment, evaluation, data processing).
  • Experience developing autonomous agents, multi-agent workflows, or agentic frameworks (e.g., AutoGen, CrewAI, LangGraph, ADK, tool-use/function-calling, or multi-agent R).
  • Experience designing, pre-training, fine-tuning, or evaluating Large Language Models (LLMs) and multimodal foundation models.

Skills

Required:Software developmentPythonC++ML system design

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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