Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Evaluate AI methods and work on long-horizon research projects.
- Company: Leading research organisation in London with a focus on innovation.
- Benefits: Competitive salary, flexible hybrid working, and extensive professional development support.
- Why this job: Make an impact in AI research while collaborating with domain experts.
- Qualifications: PhD and strong machine learning experience required.
- Other info: Join a dynamic team dedicated to rigorous evaluation methodologies.
The predicted salary is between 36000 - 60000 £ per year.
A leading research organization in London seeks a Research Scientist for evaluating AI methods, emphasizing long-horizon agents and inference-compute scaling. Candidates with a PhD and strong ML experience are encouraged to apply. This role offers the opportunity to work on impactful projects, collaborate with domain experts, and ensure rigorous evaluation methodologies.
Competitive salary and benefits, including flexible hybrid working options and extensive professional development support are provided.
Frontier AI Evaluation Scientist – Long-Horizon Research in London employer: AI Security Institute
Contact Detail:
AI Security Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Frontier AI Evaluation Scientist – Long-Horizon Research in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML fields on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI evaluation. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Whether it’s through a portfolio or GitHub, we want to see your hands-on experience with long-horizon agents and inference-compute scaling. This is your chance to shine!
✨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, we love seeing candidates who take that extra step.
We think you need these skills to ace Frontier AI Evaluation Scientist – Long-Horizon Research in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD and relevant ML experience. We want to see how your background aligns with the role of evaluating AI methods, so don’t hold back on showcasing your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about long-horizon research and how you can contribute to impactful projects at StudySmarter. Keep it engaging and personal.
Showcase Your Research Experience: In your application, emphasise any previous work related to AI evaluation or inference-compute scaling. We love seeing concrete examples of your contributions to the field, so make sure to include them!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at AI Security Institute
✨Know Your AI Inside Out
Make sure you brush up on the latest AI methods, especially those related to long-horizon agents. Be prepared to discuss your previous work in machine learning and how it relates to the role. This will show that you're not just familiar with the concepts but can also apply them effectively.
✨Prepare for Technical Questions
Expect to face some challenging technical questions during the interview. Review key evaluation methodologies and inference-compute scaling techniques. Practising problem-solving scenarios can help you articulate your thought process clearly when faced with complex questions.
✨Showcase Your Collaboration Skills
This role involves working closely with domain experts, so be ready to share examples of past collaborations. Highlight how you’ve successfully worked in teams, tackled challenges, and contributed to impactful projects. This will demonstrate your ability to thrive in a collaborative environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the organisation's current projects, their approach to AI evaluation, or how they support professional development. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
