Research Scientist, Frontier Computation, DeepMind

Google LLC; Greater London; On-site; GBP 100,000 - 180,000; Full time

Job summary

Google DeepMind’s Frontier Computation team seeks a Research Scientist to explore how neural networks relate to classical computation and to apply frontier AI systems to improve computation substrates. You will work in a collaborative environment on long‑term moonshots and direct deployments within DeepMind’s AI offerings.

Ideal candidates will drive foundational contributions across diverse projects, with emphasis on safety in generative AI. English proficiency is required for all roles.

Qualifications

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• 2 years of experience with Large Language Model internals or generalization.

Responsibilities

• Lead long-term moonshot research projects and direct deployments with rigorous empirical evaluation.
• Own AI security research engagements, developing prompt defenses and alignment strategies.
• Translate complex findings into clear, structured results and collaborate with internal and external teams.

Skills

PhD in CS

LLM internals

Education

PhD in Computer Science or related field

Job description

Research Scientist, Frontier Computation, DeepMind

Share Research Scientist, Frontier Computation, DeepMind

corporate_fare DeepMind place London, UK

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• 2 years of experience with Large Language Model internals or generalization.

Preferred qualifications:

• Prior publication (NeurIPS/ICML/ICLR) or equivalent milestone, in the area of information propagation, generalisation, or mechanistic interpretability of intelligent systems.
• Experience with leading research projects.
• Strong experimental taste with good judgment regarding baselines, ablations, and what is worth testing.
• Interest in Safety and Security of Generative AI systems.
• A generalist demonstrating adaptability and flexibility across several research projects.
• Demonstrated ability to work collaboratively as well as independently.

About the job

As a part of the Frontier Computation team at DeepMind, you will focus on the intricate relationship neural networks have with (classical) computation, which entails both improving the algorithmic alignment properties of frontier AI systems, and using frontier AI systems to improve the substrate of computation.

About the job

As a part of the Frontier Computation team at DeepMind, you will focus on the intricate relationship neural networks have with (classical) computation, and using frontier AI systems to improve the substrate of computation.

In this friendly, tight-knit, focused and collaborative team, you will explore a broad mixture of topics on the frontier of machine learning, spanning long‑term research moonshots as well as direct deployments into DeepMind's AI offerings.

As a Research Scientist in our team, you would ideally make foundational contributions across a wide range of these projects, as and when appropriate given your expertise. You will also demonstrate a continuous learning mindset, and expand the range of topics you can meaningfully contribute to at GDM more broadly. In this role specifically, you will place emphasis on our growing engagements with Security and Safety research within generative AI systems. 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 varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• Lead long‑term "moonshot" projects and direct product deployments, probing model internals, mechanistic interpretability, and information propagation with high personal initiative, independently design, implement, and execute rigorous empirical experiments, applying strict criteria for baselines and ablation studies to systematically validate research directions.
• Take ownership of research engagements in AI security, developing prompt defenses and alignment strategies to secure our frontier systems.
• Translate complex findings into clear, structured results and drive be involved into close collaboration with internal and external collaborators.

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.

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.