At a Glance
- Tasks: Lead the development of threat models for advanced AI safety in CBRNe domains.
- Company: Join Google DeepMind, a pioneering AI lab at the forefront of technology.
- Benefits: Competitive salary, diverse learning opportunities, and a commitment to ethics and safety.
- Other info: Dynamic environment with exceptional career pathways and interdisciplinary collaboration.
- Why this job: Make a real impact on AI safety and contribute to global challenges.
- Qualifications: PhD in relevant field and experience in risk communication and data analysis.
The predicted salary is between 60000 - 80000 £ per year.
Minimum Qualifications Ph D degree in Science, Engineering, Data Science, a related field, or equivalent practical experience. 2 years of experience within a national laboratory, government defense organization, military intelligence unit, or specialized research institution.
Preferred Qualifications Experience communicating deeply complex, high‑consequence technical CBRNe risks into clear, actionable insights for business leaders, corporate governance bodies, and policy experts.
Experience executing independent projects and synthesizing large datasets under tight deadlines in fast‑paced environments.
Experience understanding complex issues through qualitative/quantitative models for decision‑making with imprecise data.
Experience red‑teaming, evaluating, utilizing LLMs to identify systematic vulnerabilities and potential misuse scenarios.
Knowledge of dual‑risk components of CBRNe domains, with emphasis on biological risks and laboratory/defense paradigms.
Track record of reviewing complex technical reports and identifying critical risks and vulnerabilities under tight timeframes.
About The Job At Google Deep Mind, the frontier of AI brings extraordinary opportunities—and unprecedented responsibilities.
The Responsible Development and Innovation (Re DI) team operates at this intersection, including the operation of state‑of‑the‑art measurement and evaluation of AI risks in the chemical, biological, radiological, nuclear, and explosives (CBRNe) domains.
In this critical role, you will be the operational linchpin responsible for building out, maturing, and maintaining the threat models that evaluate and support the mitigation of dual‑use risks of Google Deep Mind’s most advanced AI models.
Your work will contribute directly into the Frontier Safety Framework (FSF), providing the rigorous risk‑calibration needed to inform model releases and ensure safety‑critical deployments.
We need a "doer"—someone with the operational discipline to absorb vast quantities of complex scientific data, identify critical blind spots, and execute swiftly in a fast‑paced environment.
This is an opportunity to apply real‑world threat intelligence to the vanguard of artificial intelligence safety.
Artificial intelligence will be one of humanity’s most transformative inventions.
At Google Deep Mind, 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.
Responsibilities Refine and maintain the threat modelling framework to define critical thresholds, and integrate these models into FSF review processes to support deployment decision‑making.
Partner cross‑functionally to design and implement evaluations identifying CBRNe‑related risks in high‑capability AI models.
Collaborate across evaluation and mitigation teams to determine if deployment safeguards are adequate for high‑capability models.
Engagement with external stakeholders including governmental entities, third‑party organizations (including the Frontier Model Forum) and external subject‑matter experts.
Monitor the external engaged landscape, emerging dual‑use methodologies and broader frontier AI domain.
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. #J-18808-Ljbffr
Threat Modeler Lead, CBRNE, DeepMind employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of London. Our vibrant work culture encourages creativity and offers ample opportunities for professional growth, while our commitment to ethical AI ensures that your contributions will have a meaningful impact on society. Join us to be part of a team that values diversity and empowers you to excel in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Threat Modeler Lead, CBRNE, DeepMind
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Google DeepMind!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Threat Modeler Lead, CBRNE, DeepMind at Google DeepMind.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Google DeepMind.
✨Apply Directly through Our Website
When you find a suitable opening like Threat Modeler Lead, CBRNE, DeepMind at Google DeepMind, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Threat Modeler Lead, CBRNE, DeepMind
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Google DeepMind, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Google DeepMind. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Google DeepMind
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Google DeepMind!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
