AI Agent Systems Engineer

Google; United States; On-site; USD 262,000 - 365,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google DeepMind is hiring a Research Engineer to build and test self-improving agent frameworks, spanning 2D/3D game environments, physics simulators, and real-world deployments. You will create visualization tools, leaderboards, and automated evaluation pipelines to measure agent quality at scale.

You will work with ML and neuroscience researchers, engage with enterprise customers and academic partners, and contribute to a self-improving deployment model across diverse domains such as Science,

Qualifications

• Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.
• 8 years of experience in software development with Python.
• Experience building and developing large-scale infrastructure or distributed systems.

Responsibilities

• Design and build the self-improving agent framework – the scaffolding, diagnostic tools, and feedback loops that enable continuous quality improvement across Science, Cybersecurity, and Coding agents.
• Engage directly with enterprise customers, public sector teams, and academic partners to deploy, monitor, and improve agents in real-world settings.
• Build automated evaluation pipelines that capture real-world agent quality beyond lab benchmarks.
• Develop cross-engagement learning systems that generalize insights from individual deployments to improve all agents at scale.
• Identify and characterize core model limitations with empirical evidence, partnering with GDM research teams to drive foundational improvements while guiding the transition from direct customer engagements to a scalable, self-improving deployment model.

Skills

Python programming

Education

Bachelor's degree in Computer Science or related field

Tools

MapReduce

Hadoop

Spark

Flume

Hive

Impala

SparkSQL

BigQuery

Job description

Google DeepMind is hiring a Research Engineer to build and test self-improving agent frameworks, spanning 2D/3D game environments, physics simulators, and real-world deployments. You will create visualization tools, leaderboards, and automated evaluation pipelines to measure agent quality at scale.

You will work with ML and neuroscience researchers, engage with enterprise customers and academic partners, and contribute to a self-improving deployment model across diverse domains such as Science,