Deepmind jobs in London
Sort by: relevance - date
- DeepMindLondon
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience in Large Language Model safety or security.
- PhD in a technical field or equivalent practical experience.
- Experience with algorithmic architectures, data sources, and training and inference techniques for…
- DeepMindLondon
- PhD degree in a technical field or equivalent practical experience.
- 2 years of experiencein reinforcement learning or other techniques for mid-/post-training of…
- View all DeepMind jobs - London jobs - Research Scientist jobs in London
- Salary Search: Research Scientist, Robotics RL, DeepMind salaries in London
- DeepMindLondon
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in game design, including one or more shipped commercial titles.
- View all DeepMind jobs - London jobs - Video Game Designer jobs in London
- Salary Search: Game Designer, Games, DeepMind salaries in London
- DeepMindLondon
- Bachelor's degree or equivalent practical experience.
- 14 years of experience in technical writing, journalism, or editorial management.
- DeepMindLondon
- Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.
- Experience working with research teams.
- DeepMindLondon
- Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.
- Experience working with research teams.
- DeepMindLondon
- 5 years of experience in full-cycle recruiting or talent acquisition, in house.
- Experience hiring for research scientist, research engineers and software…
- View all DeepMind jobs - London jobs - Recruiter jobs in London
- Salary Search: Talent Acquisition Partner, DeepMind salaries in London
- Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical field, or equivalent practical experience.
- DeepMindLondon
- PhD degree in Computer Science, Human-Centered Computing, Cognitive Science, or a related field.
- 6 years post-PhD experience conducting research on topics…
- DeepMindLondon
- PhD degree in programming languages, formal methods, or a related area, or equivalent practical experience.
- 3 years of experience with proof assistants (Lean,…
- DeepMindLondon
- PhD degree in a relevant quantitative field (e.g., Robotics, Computer Science, Machine Learning), or equivalent practical experience.
- DeepMindLondon
- Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience.
- View all DeepMind jobs - London jobs - Research Engineer jobs in London
- Salary Search: Research Engineer, Gemini Omni, DeepMind salaries in London
- DeepMindLondon
- PhD in Computer Science, a related field, or equivalent practical experience.
- Experience in the domain area of generative AI and Large Language Models (LLM).
- Bachelor's degree or equivalent practical experience.
- 3 years of experience in reinforcement learning or optimal control.
- DeepMindLondon
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience developing, training, and deploying diffusion models and generative video…
- View all DeepMind jobs - London jobs - Research Engineer jobs in London
- Salary Search: Research Engineer, World Models, DeepMind salaries in London
Research Scientist, Gemini Safety and Behavior, DeepMind
DeepMind (part of Google)
·
5.0
London
£207,000 - £300,000 a year
Research Scientist, Gemini Safety and Behavior, DeepMind
Job details
£207,000 - £300,000 a year
London
Full job description
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; London, UK.
Our group specializes in enhancing the ethical integrity and alignment standards of machine intelligence. We pioneer foundational infrastructure integrated across major downstream surfaces, including our flagship consumer interfaces, developer APIs, and core search platforms.
Artificial intelligence will be one of humanity’s most transformative inventions. At 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.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience in Large Language Model safety or security.
Preferred qualifications:
- Experience in developing and leveraging agentic workflows around safety, behavior, and alignment.
- Experience with synthetic data generation pipelines, building evaluations and mitigations for non-verifiable tasks using methods such as LLM-as-a-judge, rubric-based rewards, etc.
- Experience taking research from concept to product.
- Experience with collaborating or leading an applied research project.
- Strong experimental taste with good judgment regarding baselines, ablations, and what is worth testing.
- Track record of publications at NeurIPS, ICLR, ICML.
About the job
The Alignment and Reliability division investigates and creates auditing frameworks, defensive safeguards, specialized toolsets, and autonomous agents to upgrade GDM’s flagship foundation systems. The mandate for the Research Scientist/Engineer centers on engineering novel heuristic and statistical mechanisms to elevate user-facing architectures. The operating rhythm is swift and deeply team-oriented, anchored by a collective ethos of mutual assistance, resilience, and camaraderie intervening during urgent escalations while shaping next-generation intelligence.
In this role, you will be a technical contributor capable of advancing fresh investigative hypotheses from conception to live release with full lifecycle accountability, balancing experimentation with rapid incident mitigation.
Our group specializes in enhancing the ethical integrity and alignment standards of machine intelligence. We pioneer foundational infrastructure integrated across major downstream surfaces, including our flagship consumer interfaces, developer APIs, and core search platforms.
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.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive innovation and understanding of safety and security jailbreaks, owning the problem and delivering mitigations which can be deployed at scale in partnership with product areas.
- Develop red and blue teaming methods for frontier GenAI models spanning text-to-text, multimodal, and agentic capabilities, delivering actionable insights and solutions.
- Explore data, reasoning and algorithmic solutions to make sure Gemini Models are safe, maximally helpful, and work for everyone.
- Improve Gemini’s adversarial with a focus on high-stakes abuse risks in agentic settings.
- Develop and execute experimental plans to address known gaps, or construct entirely new capabilities.
Let Employers Find YouUpload Your Resume