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- Tasks: Conduct safety evaluations and collaborate with top AI labs on groundbreaking projects.
- Company: Leading research organisation in London with a focus on AI safety.
- Benefits: Competitive salary, unlimited vacation, and a professional development budget.
- Why this job: Join a team making a real impact in AI safety and innovation.
- Qualifications: Strong background in empirical research and software engineering in Python.
- Other info: Full-time role with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading research organization in London seeks Research Scientists and Engineers to conduct safety evaluations and collaborate with top-tier AI labs like OpenAI and Google DeepMind.
Ideal candidates should have a strong foundation in empirical research, excellent communication skills, and software engineering experience in Python.
The role is full-time, with competitive salary and extensive benefits including unlimited vacation and professional development budget.
AI Safety & Scheming Eval Scientist/Engineer in City of London employer: COL Limited
Contact Detail:
COL Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Safety & Scheming Eval Scientist/Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field, especially those at top-tier labs. A friendly chat can open doors and give you insights that might just land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your empirical research and Python projects. This is your chance to demonstrate your expertise and passion for AI safety and scheming evaluations.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as this will be key when collaborating with teams at places like OpenAI and Google DeepMind.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you ace the application process and get noticed by the right people in the industry.
We think you need these skills to ace AI Safety & Scheming Eval Scientist/Engineer in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in empirical research and software engineering, especially with Python. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your interest in AI safety and any relevant projects you've worked on. It helps us see why you’re a great fit!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s necessary. We appreciate good communication skills, so let that shine through!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at COL Limited
✨Know Your AI Safety Fundamentals
Make sure you brush up on the key concepts of AI safety and evaluation. Familiarise yourself with current trends and challenges in the field, especially those tackled by leading labs like OpenAI and Google DeepMind. This will show your passion and understanding of the role.
✨Showcase Your Research Skills
Prepare to discuss your previous empirical research experiences in detail. Be ready to explain your methodologies, findings, and how they relate to AI safety. Use specific examples to demonstrate your analytical thinking and problem-solving abilities.
✨Communicate Clearly and Confidently
Since excellent communication skills are a must, practice articulating your thoughts clearly. Consider doing mock interviews with friends or colleagues to refine your ability to explain complex ideas simply and effectively.
✨Demonstrate Your Python Proficiency
As software engineering experience in Python is crucial, be prepared to discuss your coding projects. Bring examples of your work, and if possible, be ready to solve a coding challenge during the interview. This will highlight your technical skills and readiness for the role.
