The Senior AI/ML Research Engineer role at Google focuses on developing advanced AI agents and optimizing machine learning infrastructure. This position is part of the Cloud AI Research team, which aims to bridge the gap between foundational research and practical deployment of AI technologies. The engineer will lead projects that involve designing agent state machines and mentoring junior engineers. The role requires a blend of technical expertise and innovative thinking to tackle complex problems in AI.

• 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.
• Experience developing autonomous agents and multi-agent workflows.
• Experience designing, pre-training, fine-tuning, or evaluating Large Language Models and multimodal foundation models.

• Lead 2–4 week 'Strike Sprints' to rapidly prototype advanced agent state machines.
• Partner with product and engineering teams to translate novel agentic prototypes into scalable enterprise solutions.
• Architect and build generalizable horizontal agents to accelerate engineering and researcher velocity.
• Develop agent architectures, planning frameworks, and self-improving foundation models.
• Collaborate across Google to disseminate technical playbooks and publish breakthroughs at ML conferences.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.