At a Glance
- Tasks: Build and maintain threat models to mitigate risks of advanced AI technologies.
- Company: Global tech leader focused on AI safety and ethical innovation.
- Benefits: Competitive salary, bonuses, equity options, and comprehensive benefits.
- Other info: Dynamic work environment with diverse career pathways and growth opportunities.
- Why this job: Join a pioneering team tackling global challenges with cutting-edge AI solutions.
- Qualifications: PhD in relevant field and experience in model design and risk assessment.
The predicted salary is between 139500 - 170500 £ per year.
You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.
Our client is a global technology company.
Our client's CBRNE team (Chemical, Biological, Radiological, Nuclear and Explosives) makes sure that as Gemini gets better at science, it does not become a tool for catastrophic harm.
We would like to invite applications for the position of a Threat Modeller Subject Matter Expert (SME) in the CBRNE team.
In this role, you will work intently with the Threat Modeling Lead to serve as a critical operational linchpin responsible for building out, maturing, and maintaining the threat models that evaluate and support the mitigation of dual-use risks of our client'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.
You will have 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.
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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at our client.
Minimum qualifications
- Ph D in Science, Engineering, Data Science or equivalent practical experience.
- 3 years of experience designing qualitative and quantitative models.
- 1 year of experience working within a national laboratory, research organization, government defense organization, military intelligence unit, or specialized research organization.
Preferred qualifications
- Experience executing independent projects and synthesizing large datasets under tight deadlines in fast-paced environments. xsabvtc
- Experience red-teaming, evaluating, utilizing LLMs to identify systematic vulnerabilities and potential misuse.
- Experience communicating complex, high-consequence technical CBRNe risks into clear, actionable insights for business leaders, corporate governance bodies, and policy experts
- Strong knowledge of dual-risk comp
- Please click on the apply button to read the full job description
Threat Modeller in Whitehall employer: Hackajob
Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.
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We think this is how you could land Threat Modeller in Whitehall
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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 Hackajob.
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We think you need these skills to ace Threat Modeller in Whitehall
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!
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Craft a Tailored Cover Letter:For a full-time role at Hackajob, 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 Hackajob. 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 Hackajob
✨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 Hackajob!
✨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.
