At a Glance
- Tasks: Lead impactful AI safety research and mentor a dynamic team.
- Company: Top AI company in Greater London with a focus on innovation.
- Benefits: Unlimited annual leave, hybrid work, and competitive perks.
- Why this job: Shape the future of AI safety while working on groundbreaking projects.
- Qualifications: Proven AI research experience and expertise in language models.
- Other info: Join a collaborative environment with endless growth opportunities.
The predicted salary is between 54000 - 84000 Β£ per year.
A leading AI company in Greater London is seeking a Principal Research Scientist for AI Safety to lead a high-impact research agenda focused on large language models and other critical AI systems. The role involves conducting and overseeing cutting-edge research, publishing findings, and mentoring a growing team.
Candidates should have a proven record in AI research, deep knowledge in language models, and strong programming skills. The position offers a hybrid work environment with numerous benefits including unlimited annual leave.
Lead AI Safety Research Scientist employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Lead AI Safety Research Scientist
β¨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
β¨Tip Number 2
Show off your expertise! Prepare a portfolio of your research and projects related to AI safety and language models. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
β¨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your answers and get comfortable discussing your experience. Focus on how your background aligns with the role of Lead AI Safety Research Scientist.
β¨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are passionate about AI safety. It shows initiative and gives us a chance to see your enthusiasm right from the start.
We think you need these skills to ace Lead AI Safety Research Scientist
Some tips for your application π«‘
Show Off Your Expertise: When you're writing your application, make sure to highlight your experience in AI research and your deep knowledge of language models. We want to see how your background aligns with the role, so donβt hold back on showcasing your skills!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your passion for AI safety shines through. Remember, less is often more!
Tailor Your Application: Make sure to customise your application for this specific role. Mention how your previous work relates to leading a high-impact research agenda and mentoring teams. We love seeing candidates who take the time to connect their experiences to what we do!
Apply Through Our Website: Donβt forget to submit your application through our website! Itβs the best way for us to receive your details and ensures youβre considered for this exciting opportunity. We canβt wait to hear from you!
How to prepare for a job interview at Faculty
β¨Know Your AI Stuff
Make sure you brush up on the latest trends and breakthroughs in AI safety, especially around large language models. Be ready to discuss your previous research and how it relates to the role. This shows you're not just knowledgeable but also passionate about the field.
β¨Showcase Your Leadership Skills
Since this role involves mentoring a team, be prepared to share examples of how you've successfully led projects or guided colleagues in the past. Highlight your ability to inspire and develop talent, as this will resonate well with the interviewers.
β¨Prepare for Technical Questions
Expect some deep dives into your programming skills and technical knowledge. Brush up on relevant languages and frameworks, and be ready to solve problems on the spot. Practising coding challenges can help you feel more confident.
β¨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's research agenda, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.