Threat Modeller & AI Safety Risk Expert | Equity Eligible in London

Threat Modeller & AI Safety Risk Expert | Equity Eligible in London

London Full-Time 72000 - 88000 £ / year (est.) On-site
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At a Glance

  • Tasks: Build and maintain risk models for advanced AI, tackling dual-use threats.
  • Company: Join Google DeepMind, a leader in AI innovation and safety.
  • Benefits: Equity eligibility, competitive salary, and opportunities for professional growth.
  • Other info: Fast-paced environment with a focus on collaboration and innovation.
  • Why this job: Make a real impact on AI safety while working with cutting-edge technology.
  • Qualifications: Expertise in threat modelling and ability to analyse large datasets.

The predicted salary is between 72000 - 88000 £ per year.

Google Deep Mind is seeking a Threat Modeller Subject Matter Expert (SME) in the CBRNE team to build, mature, and maintain risk/threat models for dual-use risks in advanced AI models.

You will work with the Threat Modeling Lead to support FSF review processes and deployment decisions.

The role requires absorbing large datasets, identifying blind spots, and rapidly executing in a fast-paced environment, applying threat intelligence to AI safety challenges.

Threat Modeller & AI Safety Risk Expert | Equity Eligible in London employer: Google

As a Senior Manager in Ads Solutions Engineering at gTech, you will thrive in a dynamic and innovative environment that prioritises collaboration and professional growth. The company fosters a culture of continuous learning and development, offering ample opportunities to lead transformative projects while working with cutting-edge technologies. Located in a vibrant tech hub, gTech provides a unique chance to engage with top-tier clients and contribute to impactful solutions that drive success.

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Contact Details:

Google Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Threat Modeller & AI Safety Risk Expert | Equity Eligible in London

✨Join Local Tech Meetups

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✨Contribute to Open Source Projects

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We think you need these skills to ace Threat Modeller & AI Safety Risk Expert | Equity Eligible in London

Threat Modelling
Risk Assessment
Data Analysis
AI Safety
CBRNE Knowledge
Problem-Solving Skills
Attention to Detail

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Google.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Google and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Google

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Google uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.