Research Engineer, Responsible Frontier AI Research

Google LLC; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

Google DeepMind in London seeks a highly adaptable Research Engineer to join the Responsibility team. You will design and scale evaluation frameworks that assess frontier language models for harmful manipulation, develop mitigation techniques, and build infrastructure to track model performance across releases.

You will be joining a specialized Applied Research and Responsibility team within Google while closely partnering with DeepMind, Research, Product, and Policy to address AI safety

Qualifications

• Bachelor's degree or equivalent practical experience in CS/ML/math.
• 3 years of experience in Python programming.
• 3 years of experience with ML frameworks (JAX, PyTorch, TensorFlow).

Responsibilities

• Prototype and deliver scalable engineering solutions across the Responsibility portfolio.
• Architect and optimize training and inference pipelines to detect manipulation in frontier models.
• Develop post-training strategies to mitigate manipulation, including deceptive persuasion and covert influence.
• Collaborate with researchers to translate safety research into robust implementations and present results to stakeholders.
• Build and maintain evaluation infrastructure to track model safety performance across releases.

Skills

Python programming

ML frameworks (JAX, PyTorch, TensorRT)

Education

Bachelor's degree in CS/ML/Math or related field

Master's or PhD in CS/Engineering related to ML

Tools

Python

C++

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.

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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