Research Engineer: Agent Quality & AI Systems (Equity)

Google Inc.; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind in Mountain View, CA is seeking a Research Engineer, Advancing Agent Quality to join the Agent Quality team. You will help define evaluation systems, build agent environments, and support Gemini Spark with scalable experiments.

This role emphasizes hands-on development in ML and software engineering, with Python and major frameworks, contributing to long-horizon tool-using capabilities and high-quality research outputs for global collaboration.

Qualifications

• 2+ years in agentic AI workflows and frameworks.
• 1+ year in machine learning and deep learning.
• Experience in software engineering and cloud-based development.
• Proficient with Python and ML frameworks (TensorFlow, PyTorch).

Responsibilities

• Design, build, and scale agent environments and test suites.
• Research and develop Agentic AutoRaters calibrated to human evaluation.
• Develop trajectory analysis tools to identify failure modes and improve data harnesses.
• Harvest trajectories and rewards for SFT and RL training of Gemini models.

Skills

Agentic AI workflows

Machine learning

Software engineering

Cloud development

Python

TensorFlow

PyTorch

Job description

Google DeepMind in Mountain View, CA is seeking a Research Engineer, Advancing Agent Quality to join the Agent Quality team. You will help define evaluation systems, build agent environments, and support Gemini Spark with scalable experiments.

This role emphasizes hands-on development in ML and software engineering, with Python and major frameworks, contributing to long-horizon tool-using capabilities and high-quality research outputs for global collaboration.