Research Engineer, DeepMind

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

Research Engineer, DeepMind

Location: Mountain View, CA, USA

Minimum 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.

Preferred qualifications

• Experience in life sciences, cybersecurity, materials, or AI within education and healthcare.
• Experience with Generative AI, large language models (LLMs), or conversational AI systems, especially in the development of AI agents or agentic frameworks.
• Proficiency with MapReduce, Hadoop, Spark, Flume, Hive, Impala, SparkSQL, BigQuery.

About the job

At Google DeepMind, our mission is to build the world's first general‑purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Research Engineer, you will be working with the cutting‑edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualizations of results, build competitive agent leaderboards, and test new algorithms on robots. To succeed in this role, you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission‑driven team.

Google DeepMind's Science and Strategic Initiatives (SSI) unit is building a team focused on commercialization and real‑world academic impact of AI models and agents across three domains: Science, Cybersecurity, and Coding Agents.

To achieve impact at scale, we are building a self‑improving agent framework – a system that can automatically diagnose failure modes, generalize learnings across customer engagements, and continuously improve agent quality at scale. You will be at the foundation of this effort, working directly with enterprise customers and academic researchers to understand product opportunities directly, while simultaneously building the infrastructure to optimize and improve our products quickly and accurately.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high‑quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors, including job‑related skills, experience, and relevant education or training.

Salary Range

• US: $262,000 - $365,000 (USD)
• 25% bonus target
• equity
• benefits

Learn more about benefits at Google.

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.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Locations

Mountain View, CA, USA