Agentic AI Research Engineer — ML & Systems

Google DeepMind

Mountain View (CA)

On-site

USD 174,000 - 252,000

Full time

2 days ago

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Job summary

Google DeepMind is seeking a research-focused Software Engineer to help design, build, and scale agent environments and evaluation systems for Gemini frontier models. You will collaborate with global teams to run large-scale experiments and push the boundaries of agentic AI in research and product contexts.

You will develop verifiers, diagnostic tools, and data pipelines to improve SFT and RL training, while ensuring safety and ethical standards.

Qualifications

2 years of experience with agentic AI workflows, frameworks, and approaches.
1 year of experience with machine learning and deep learning.
Experience in software engineering and cloud-based development.
Experience with Python, TensorFlow, PyTorch, or similar ML frameworks.

Responsibilities

Design, build, and scale realistic agent environments and task suites. Research and develop Agentic AutoRaters (AR), calibrate them against human evaluation, and benchmark agent capabilities against industry-leading frontier models.
Enable agents to automatically generate and iterate on verifiers (such as automated test cases), facilitating effective exploration and iterative problem-solving.
Develop trajectory analysis frameworks and diagnostic tooling to identify root-cause agent failure modes, and automatically optimize agent harnesses to drive continuous self-improvement.
Harvest complex multi-turn interaction trajectories into high-quality datasets and reward signals to power SFT and RL flywheels for frontier Gemini models.