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- Tasks: Conduct research on AI vulnerabilities and build security frameworks to protect advanced AI systems.
- Company: Join SandboxAQ, a fast-growing company tackling global challenges with innovative AI solutions.
- Benefits: Competitive salary, equity options, and opportunities for personal and professional growth.
- Why this job: Make a real impact in AI security while collaborating with top experts in a dynamic environment.
- Qualifications: PhD or Masters in Computer Science, expertise in AI/ML, and strong programming skills in Python.
- Other info: Inclusive culture with zero tolerance for discrimination and a commitment to employee development.
The predicted salary is between 134000 - 174000 £ per year.
About SandboxAQ
SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.
About The Role
The SandboxAQ Cybersecurity R&D team is looking for an AI Security Researcher to help us build the future of AI security where the world's most advanced AI systems are tested, protected and hardened against the next generation of threats. A successful candidate thrives at the intersection of machine learning, security and software engineering. You'll lead investigations into how AI systems can fail, and build the tools, rules and frameworks that keep them secure. This is a hands-on role where you'll break things, fix them and then harden them for good. You'll have extensive freedom to explore, collaborate, publish, and deploy, shaping the field of AI security from both the offensive and defensive sides. We're looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker.
You will be part of a diverse team consisting of ML experts, cryptographers, mathematicians, and physicists, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. We're not another security vendor chasing patch cycles - we want to make an impact, and we want to do it fast.
Core Responsibilities
- Conduct original research into vulnerabilities, exploits, and adversarial behaviours in LLMs, LQMs, agents, and related AI frameworks.
- Build and operationalize AI security frameworks, evaluations and red teaming tools, and defensive mechanisms to protect models and data.
- Partner with engineering and product teams to integrate your findings into real-world systems.
- Lead or contribute to responsible disclosure and research publications that advance the state of the art.
- Stay on the edge of the latest in AI interpretability, alignment, and adversarial robustness, and use that knowledge to make AI safer for everyone.
Required Qualifications
- PhD or Masters in Computer Science or related field with a focus on Machine Learning or Cybersecurity.
- Deep expertise in AI/ML, security research, or both - with a proven ability to find and fix real vulnerabilities.
- Hands-on experience with at least one of the following: Adversarial LLM red teaming, model extraction or prompt injection, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse.
- Strong programming skills in Python, and relevant ML and/or agentic frameworks.
Desirable Qualifications
- Experience contributing to open source projects.
- Experience in the broader cybersecurity domain is a plus, but not essential.
SandboxAQ Welcomes All
We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can't go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology.
Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.
AI Security Researcher in Newcastle upon Tyne employer: Sandboxaq
Contact Detail:
Sandboxaq Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Security Researcher in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cybersecurity space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, research, or any cool stuff you've built. This is your chance to demonstrate your hands-on experience and creativity in AI security.
✨Tip Number 3
Prepare for interviews by diving deep into the latest trends in AI security. Be ready to discuss your thoughts on vulnerabilities and how you’d tackle them. We love candidates who can think critically and creatively!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team at SandboxAQ.
We think you need these skills to ace AI Security Researcher in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Security Researcher role. Highlight your expertise in AI/ML and cybersecurity, and don’t forget to mention any hands-on experience you have with vulnerabilities and exploits.
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for AI security. Share why you’re excited about this role and how your background makes you a perfect fit for our team at SandboxAQ.
Showcase Your Projects: If you've worked on relevant projects, whether in academia or industry, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve innovative solutions to security challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at SandboxAQ!
How to prepare for a job interview at Sandboxaq
✨Know Your Stuff
Make sure you brush up on your knowledge of AI security, machine learning, and cybersecurity. Familiarise yourself with the latest trends and challenges in these fields, especially around vulnerabilities and adversarial behaviours. This will not only help you answer questions confidently but also show your genuine interest in the role.
✨Show Your Hands-On Experience
Be ready to discuss specific projects or experiences where you've tackled real vulnerabilities or worked on AI security frameworks. Highlight any hands-on work with adversarial LLM red teaming or secure model deployment. Concrete examples will demonstrate your skills and make you stand out.
✨Collaborate and Communicate
Since the role involves partnering with engineering and product teams, be prepared to talk about your collaboration skills. Share instances where you've successfully worked in a team to solve complex problems. Good communication is key, so practice explaining technical concepts in a way that's easy to understand.
✨Ask Insightful Questions
Prepare thoughtful questions about SandboxAQ's approach to AI security and their current projects. This shows that you're not just interested in the job, but also in how you can contribute to their mission. It’s a great way to demonstrate your curiosity and engagement with the field.