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Senior Staff AI/ML Engineer, Cloud AI Research

Google· Cloud AI Research
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Mountain View, CA, USA$262k - $364kFull-timePosted 3d ago

About the role

Senior Staff AI/ML Engineer role at Google Cloud AI Research, focusing on high-velocity AI agent architectures, forward deployed engineering, and scalable agentic systems. Leadership in technical strategy, architecture, and collaboration with executive partners to translate prototypes into enterprise solutions.

Responsibilities

  • Architect the technical framework for high-velocity "Strike Sprints," defining the gold standard for intent-driven AI topologies, reflection loops, and advanced agent state machines across the entire organization.
  • Serve as the principal technical anchor for massive Forward Deployed Engineering (FDE) missions, aligning directly with VP/Director-level partners to translate speculative agentic prototypes into enterprise solutions.
  • Set the architectural goals and lead the development of generalizable horizontal agents (e.g., AutoResearch and AutoFounder) that fundamentally alter engineering velocity across Google.
  • Direct the research agenda to develop agent architectures, novel planning frameworks, and self-improving foundation models.
  • Act as a thought leader across Google, defining centrally governed agentic playbooks, and actively publishing definitive 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 experience with Python, C++, Java, or JavaScript.
  • 8 years of experience leading large-scale ML system design and optimizing ML infrastructure (e.g., distributed training, model deployment, evaluation).
  • Experience developing autonomous agents, multi-agent workflows, or agentic frameworks (e.g., AutoGen, CrewAI, LangGraph, ADK, tool-use/function-calling, or multi-agent).
  • Experience designing, pre-training, fine-tuning, or evaluating Large Language Models (LLMs) and multimodal foundation models.

Skills

Required:PythonC++JavaJavaScriptLarge Language Models (LLMs)

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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