Research Engineer, Responsible Frontier AI Research, DeepMind

Google Inc.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

DeepMind is seeking a highly adaptable Research Engineer for the Responsibility team in London. You will design and scale evaluation frameworks to assess the propensity of frontier language models to engage in harmful manipulation and build infrastructure to track model performance across releases.

You will work with Research Scientists, safety policy teams, and product stakeholders to translate safety research into concrete improvements, with opportunities to influence policy and product

Qualifications

• 3 years of experience in Python programming.
• Bachelor's degree in Computer Science, Machine Learning, Mathematics, or related field.

Responsibilities

• Rapidly prototype and deliver scalable engineering solutions for the Responsibility research portfolio.
• Architect and optimize training and inference pipelines to detect harmful manipulation in frontier language models.
• Develop post-training strategies to mitigate manipulation risks including deceptive persuasion and covert influence tactics.
• Collaborate with research scientists to translate safety research into robust implementations for cross-functional stakeholders.
• Build and maintain evaluation infrastructure to track model safety performance across releases.

Skills

Python

ML frameworks

C++ (preferred)

Education

Bachelor's degree in CS/ML/Math

Tools

JAX

PyTorch

TensorFlow

Job description

Share Research Engineer, Responsible Frontier AI Research, DeepMind

corporate_fare DeepMind place London, UK

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical field, or equivalent practical experience.
• 3 years of experience in Python programming.
• 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Engineering, or a related field with a focus on machine learning.
• Experience in Python and C++ for high-performance ML library development.
• Experience with harmful manipulation detection, persuasion modeling, deceptive behavior analysis, or AI safety evaluation and mitigation.
• Experience working directly on AI safety, or responsible AI research.
• Experience building evaluation frameworks, benchmarks, or automated testing pipelines for ML models.

About the job

We are looking for a highly adaptable Research Engineer to join our Responsibility team. In this role, you will design and scale evaluation frameworks that assess the propensity of frontier language models to engage in harmful manipulation, develop evaluation and mitigation techniques for manipulative model behaviors, and build infrastructure to systematically track model performance across releases. You will work closely with Research Scientists, safety policy teams, and product stakeholders to ensure that evaluation results translate into concrete safety improvements.

About the job

We are looking for a highly adaptable Research Engineer to join our Responsibility team. In this role, you will design and scale evaluation frameworks that assess the propensity of frontier language models to engage in harmful manipulation, develop evaluation and mitigation techniques for manipulative model behaviors, and build infrastructure to systematically track model performance across releases. You will work closely with Research Scientists, safety policy teams, and product stakeholders to ensure that evaluation results translate into concrete safety improvements.

You will be joining a specialized Applied Research and Responsibility team within Google while closely partnering with teams across Deepmind, Research, Product, and Policy to identify and address key challenges in responsible AI. Our work remains deeply integrated with DeepMind.

Responsibilities

• Be able to rapidly prototype and deliver scalable engineering solutions across the Responsibility research portfolio.
• Architect and optimize training and inference pipelines to detect and evaluate harmful manipulation behaviors in frontier language models.
• Develop post-training strategies to mitigate manipulation risks including deceptive persuasion, sycophancy, and covert influence tactics.
• Collaborate with research scientists to translate safety research into robust implementations and present results to cross-functional stakeholders.
• Build and maintain evaluation infrastructure to systematically track model safety performance across releases.

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 .

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.

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