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- Tasks: Collaborate with AI developers to study complex dynamics and create evaluation techniques.
- Company: Leading AI research organisation in London focused on innovative AI solutions.
- Benefits: Competitive compensation, flexible work hours, and a dynamic work environment.
- Other info: Ideal for those passionate about AI and looking for a collaborative atmosphere.
- Why this job: Join a cutting-edge team and contribute to the future of AI research.
- Qualifications: Strong skills in empirical research, analytical reasoning, and software engineering.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI research organization in London seeks Research Scientists and Engineers to develop the 'Science of Scheming.' This role involves collaborating with AI developers, studying complex AI dynamics, and creating evaluation techniques.
Candidates should possess strong skills in empirical research, analytical reasoning, and software engineering, preferably with experience in training LLMs.
The role offers competitive compensation, flexible work hours, and a dynamic work environment.
Research Scientist/Engineer — Frontier AI & Evaluation in London employer: COL Limited
Contact Detail:
COL Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist/Engineer — Frontier AI & Evaluation in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at industry events. 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 empirical research and software engineering projects. This is your chance to demonstrate your analytical reasoning and experience with LLMs in a tangible way.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI dynamics and evaluation techniques. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨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/Engineer — Frontier AI & Evaluation in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your empirical research and analytical reasoning skills in your application. We want to see how your experience aligns with the role, especially if you've worked on training LLMs before!
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to reflect the specific requirements of the Research Scientist/Engineer role. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and experiences without wading through unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at COL Limited
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and techniques in AI, especially around LLMs. Be prepared to discuss your previous projects and how they relate to the role. This shows your passion and expertise in the field.
✨Showcase Your Research Skills
Be ready to talk about your empirical research experience. Bring examples of how you've approached complex problems and what methodologies you've used. This will demonstrate your analytical reasoning and problem-solving abilities.
✨Collaborate Like a Pro
Since this role involves working closely with AI developers, highlight any past experiences where you've successfully collaborated on projects. Discuss how you communicate ideas and integrate feedback, as teamwork is key in this dynamic environment.
✨Prepare for Technical Questions
Expect some technical questions related to software engineering and evaluation techniques. Brush up on relevant programming languages and frameworks. Practising coding challenges or discussing your thought process can really set you apart.