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- Tasks: Join our AI Red Team to test and improve the safety of Generative AI models.
- Company: A leading investment firm dedicated to developing cutting-edge LLMs.
- Benefits: Enjoy flexible work options and a chance to shape the future of AI safety.
- Why this job: Make a real impact by identifying vulnerabilities in AI systems while working with top experts.
- Qualifications: Ideal for those with Pen Testing experience or academics in AI research.
- Other info: Open to diverse backgrounds, including traditional finance and AI research.
The predicted salary is between 43200 - 72000 £ per year.
Interested in improving the safety of Generative AI models? A large investment firm building its own LLMs is looking to establish an AI Red Team to identify vulnerabilities, biases, and safety concerns in their models. You will work on testing the security and robustness of these systems, as well as assessing their potential to cause harm to humans.
Ideal candidates may come from a traditional Pen Testing background in Financial Services but have recently transitioned into ML & AI systems. We are also very open to hearing from Academics and AI Research engineers interested in Red Teaming.
AI Red Team Build employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Red Team Build
✨Tip Number 1
Familiarise yourself with the latest trends and challenges in Generative AI. Understanding current vulnerabilities and biases in AI models will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the AI Red Teaming community. Attend relevant conferences, webinars, or meetups to connect with others in the field. This can lead to valuable insights and potentially even referrals for the position.
✨Tip Number 3
Showcase any hands-on experience you have with Pen Testing and AI systems. If you've worked on projects that involved testing AI models or identifying security flaws, be prepared to discuss these experiences in detail during interviews.
✨Tip Number 4
Stay updated on regulatory and ethical considerations surrounding AI. Being knowledgeable about the legal and ethical implications of AI technologies will set you apart as a candidate who understands the broader context of your work.
We think you need these skills to ace AI Red Team Build
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Pen Testing, ML, and AI systems. Emphasise any projects or roles that demonstrate your ability to identify vulnerabilities and assess safety concerns.
Craft a Compelling Cover Letter: In your cover letter, express your passion for improving the safety of Generative AI models. Discuss your background in Financial Services and how it relates to the role, as well as any academic achievements or research that align with Red Teaming.
Showcase Relevant Skills: Clearly outline your technical skills related to AI and machine learning, as well as any tools or methodologies you are familiar with in Pen Testing. This will help demonstrate your suitability for the role.
Highlight Collaborative Experience: Mention any experience working in teams, especially in cross-disciplinary settings. The role may require collaboration with other engineers and researchers, so showcasing your teamwork skills can be beneficial.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Technical Skills
Be prepared to discuss your experience with penetration testing and how it relates to AI systems. Highlight any specific tools or methodologies you've used in the past, especially those relevant to identifying vulnerabilities in machine learning models.
✨Understand Generative AI
Make sure you have a solid grasp of generative AI concepts and the potential risks associated with them. Familiarise yourself with common biases and safety concerns in AI models, as this will demonstrate your commitment to improving their safety.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills in real-world situations. Think about how you would approach testing an AI model for vulnerabilities and be ready to explain your thought process clearly.
✨Demonstrate Collaboration Skills
Since you'll likely be working in a team, emphasise your ability to collaborate effectively with others. Share examples of past experiences where you successfully worked with cross-functional teams, particularly in high-stakes environments like financial services.
