Staff AI/ML Research Engineer: Autonomous Agents

Google LLC; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Sunnyvale, CA is seeking a Share Staff AI/ML Research Engineer within Cloud AI Research. You will lead development of agentic architectures and scalable ML systems, collaborating with product and engineering teams to translate research into production.

The role emphasizes designing, pre-training/fine-tuning LLMs and multimodal models, deploying autonomous agents, and improving data processing and evaluation pipelines across large-scale infrastructure.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience.
• 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.

Responsibilities

• Lead 2–4 week Strike Sprints to prototype 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 prototypes into scalable enterprise solutions.
• Build generalizable horizontal agents (e.g., AutoResearch and AutoFounder) to accelerate velocity and automate end-to-end 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.

Skills

ML system design

Distributed training

Model deployment

Data processing

Autonomous agents

Multi-agent workflows

Agentic frameworks

LLMs and multimodal models

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent

Job description

Google Sunnyvale, CA is seeking a Share Staff AI/ML Research Engineer within Cloud AI Research. You will lead development of agentic architectures and scalable ML systems, collaborating with product and engineering teams to translate research into production.

The role emphasizes designing, pre-training/fine-tuning LLMs and multimodal models, deploying autonomous agents, and improving data processing and evaluation pipelines across large-scale infrastructure.