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- Tasks: Develop innovative methodologies for evaluating AI capabilities and collaborate with experts.
- Company: Leading research institute focused on AI safety and governance.
- Benefits: Competitive compensation, remote work flexibility, and autonomy in research direction.
- Why this job: Make a global impact on AI safety while working on cutting-edge research.
- Qualifications: Strong background in applied machine learning and experience with LLMs.
- Other info: Opportunity for significant career growth in a dynamic research environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading research institute focused on AI safety seeks a Research Scientist to develop new methodologies for evaluating AI capabilities. The role emphasizes experimental design and collaboration with engineers and domain experts.
Candidates should have a strong background in applied machine learning and significant experience with LLMs. This position offers autonomy in research direction and the opportunity to impact AI governance and safety at a global level, alongside competitive compensation and remote work flexibility.
Research Scientist: Frontier AI Evaluation & Signals in London employer: AI Security Institute
Contact Detail:
AI Security Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist: Frontier AI Evaluation & Signals in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI safety field on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, especially those involving LLMs and experimental design. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI governance and safety. We recommend practising common interview questions and discussing your past experiences with applied machine learning.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Scientist: Frontier AI Evaluation & Signals in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong background in applied machine learning and any experience you have with LLMs. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Research Scientist position. Mention your experience with experimental design and collaboration, as these are key aspects of the job.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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 this exciting opportunity in AI safety.
How to prepare for a job interview at AI Security Institute
✨Know Your AI Stuff
Make sure you brush up on your knowledge of applied machine learning and large language models (LLMs). Be ready to discuss specific methodologies you've used in the past and how they relate to evaluating AI capabilities. This will show that you're not just familiar with the concepts, but that you can apply them effectively.
✨Show Off Your Experimental Design Skills
Prepare to talk about your experience with experimental design. Think of examples where you've successfully designed experiments to test hypotheses or evaluate AI systems. Highlight any innovative approaches you've taken, as this role values creativity in research.
✨Collaboration is Key
Since the job involves working closely with engineers and domain experts, be ready to share examples of successful collaborations from your past. Discuss how you’ve navigated different perspectives and contributed to a team environment. This will demonstrate your ability to work well with others and adapt to various viewpoints.
✨Impact and Autonomy
Express your enthusiasm for the autonomy in research direction that this role offers. Share your vision for how you would like to impact AI governance and safety. This shows that you’re not only interested in the position but also passionate about making a difference in the field.
