Drimva

Google

Senior AI/ML Engineer, Cloud AI Research

Mountain View, CA, USA · Senior · Full-time · Posted Oct 14, 2026

Experience
5 years in software development; 3 years in ML system design and ML infrastructure optimization.
Education
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience.

About the job

Leads rapid prototyping and deployment of autonomous AI agents and enterprise solutions, while advancing agent architectures and foundation models.

What you'll do

  • Lead 2–4 week sprints to prototype agent state machines, tool orchestration, and reflection loops.
  • Partner with product and engineering teams to turn agent prototypes into scalable enterprise solutions; build generalizable agents.
  • Develop agent architectures, planning frameworks, and self-improving foundation models; share technical playbooks across Google.

What they ask for

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience.
  • 5 years of software development experience, including coding in Python, C++, Java, JavaScript, or R.
  • 3 years of experience in ML system design and optimizing ML infrastructure.
  • Experience developing autonomous agents or multi-agent workflows, and designing, pre-training, fine-tuning, or evaluating LLMs and multimodal foundation models.

Nice to have

  • Master's degree or Ph.D. in a related technical discipline; first-author scientific publication submissions on agents in machine learning and NLP.
  • Experience delivering engineering work in rapid SWAT, Pathfinding, or FDE environments; building evaluation benchmarks or simulation environments; or in RL, reward modeling, and preference alignment.

Pay

$174000 - $252000 USD base salary

Tools

Python, C++, Java, JavaScript, R, AutoGen, CrewAI, LangGraph

AI focus

Build and deploy autonomous agents, multi-agent workflows, agent architectures, planning frameworks, and self-improving foundation models; work with LLMs and multimodal foundation models.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)