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Senior AI/ML Engineer, Cloud AI Research

Google
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Mountain View, CA$174k - $252kFull-timePosted 3d ago

About the role

Senior AI/ML Engineer role at Google Cloud AI Research focusing on autonomous agents, agentic frameworks, and scalable agent architectures to accelerate enterprise AI deployments.

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 their workflows to translate novel agentic prototypes into scalable enterprise solutions.
  • Architect and build generalizable horizontal agents (e.g., AutoResearch and AutoFounder) to accelerate engineering/researcher velocity.
  • Develop agent architectures, planning frameworks, and self-improving foundation models to advance autonomous AI systems.
  • Collaborate across Google to disseminate technical playbooks and optionally publish breakthroughs at ML conferences.

Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience
  • 5 years of experience in software development, including coding experience in Python, C++, Java, JavaScript, or R.
  • 3 years of experience in 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 RL).
  • Experience designing, pre-training, fine-tuning, or evaluating Large Language Models (LLMs) and multimodal foundation models.

Skills

Required:PythonC++JavaMachine LearningDistributed TrainingAgentic frameworksLLMs and multimodal models
Last updated Oct 23, 2026. Interested? Apply on the company site.

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