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- Tasks: Research misalignment risks in AI models and evaluate safety policies.
- Company: Leading AI safety organisation based in London.
- Benefits: Competitive salary, diverse benefits, and unique insights into AI strategies.
- Why this job: Make a real impact on global AI safety and deployment.
- Qualifications: Strong software engineering and machine learning skills, preferably in Python.
- Other info: Join a dynamic team with opportunities for growth in AI research.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI safety organization in London is seeking Research Engineers/Scientists for their Alignment Red Team. Responsibilities include researching misalignment risks in frontier AI models and running evaluations to inform AI safety policies.
Candidates should have strong software engineering and machine learning experience, particularly in Python, and ideally a background in AI research projects.
The role also offers unique insights and direct influence on global AI deployment strategies, with a competitive salary and various benefits.
Alignment Red Team Research Engineer/Scientist employer: AI Security Institute
Contact Detail:
AI Security Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Alignment Red Team Research Engineer/Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the AI safety space, especially those already working at the organisation. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repo showcasing your Python projects and any AI research you've done. This will help us stand out during interviews and show our hands-on experience.
✨Tip Number 3
Stay updated on AI trends! Read up on the latest in AI safety and misalignment risks. Being knowledgeable about current issues will impress interviewers and show that we’re genuinely interested in the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re serious about joining the team and contributing to AI safety.
We think you need these skills to ace Alignment Red Team Research Engineer/Scientist
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your software engineering and machine learning experience, especially in Python. We want to see how your background aligns with the role, so don’t hold back on showcasing any relevant AI research projects you've worked on!
Tailor Your Application: Take a moment to customise your application for the Alignment Red Team position. Mention specific misalignment risks or evaluation methods you’re familiar with, as this will show us that you understand the role and its importance in AI safety.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your key achievements stand out!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at AI Security Institute
✨Know Your AI Stuff
Make sure you brush up on the latest trends and challenges in AI safety, especially around misalignment risks. Familiarise yourself with frontier AI models and be ready to discuss your insights and opinions on how they can impact global AI deployment strategies.
✨Show Off Your Coding Skills
Since strong software engineering experience is key, be prepared to demonstrate your Python skills. You might be asked to solve a coding problem or explain your previous projects, so have examples ready that showcase your technical prowess and problem-solving abilities.
✨Research the Organisation
Dive deep into the organisation's mission and recent initiatives. Understanding their approach to AI safety will not only help you answer questions but also allow you to ask insightful ones, showing your genuine interest in their work and values.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your critical thinking and decision-making skills in AI safety contexts. Think about past experiences where you tackled similar challenges and be ready to articulate your thought process clearly.