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- Tasks: Lead red-teaming and adversarial evaluation of AI models to ensure safety.
- Company: Cutting-edge AI company based in Greater London.
- Benefits: Competitive compensation and comprehensive health benefits.
- Why this job: Join a dynamic team and drive advancements in AI safety.
- Qualifications: Graduate degree in Computer Science and strong software engineering skills.
- Other info: Ideal for those passionate about AI and eager to make an impact.
The predicted salary is between 43200 - 72000 £ per year.
A cutting-edge AI company in Greater London is seeking an individual with a graduate degree in Computer Science or related fields to lead the red-teaming and adversarial evaluation of their models. The role requires a deep understanding of LLM safety, strong software engineering skills, and experience with Reinforcement Learning. Ideal candidates thrive in a dynamic environment and are passionate about AI advancements. This position offers competitive compensation and comprehensive health benefits.
Open-Model AI Safety Lead: Red Team & Validation | Equity employer: Reflection AI
Contact Detail:
Reflection AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Open-Model AI Safety Lead: Red Team & Validation | Equity
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field, especially those working in safety and validation. Attend meetups or webinars to connect with potential colleagues and learn about opportunities that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LLM safety and Reinforcement Learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common red-teaming scenarios and adversarial evaluation techniques. We recommend practising with friends or using mock interview platforms to get comfortable with the questions you might face.
✨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 are proactive and engaged in their job search.
We think you need these skills to ace Open-Model AI Safety Lead: Red Team & Validation | Equity
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your software engineering skills and any experience you have with LLM safety and Reinforcement Learning. We want to see how your background aligns 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 why you're excited about leading red-teaming efforts and how you can contribute to our dynamic environment at StudySmarter.
Be Authentic: Let your personality shine through in your application. We’re looking for passionate individuals who thrive in innovation, so don’t be afraid to share your enthusiasm for AI advancements and what drives you.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Reflection AI
✨Know Your Stuff
Make sure you brush up on your knowledge of LLM safety and Reinforcement Learning. Be ready to discuss specific models you've worked with and how you've approached red-teaming in the past. This shows you're not just familiar with the theory but have practical experience too.
✨Show Your Passion for AI
This role is all about being passionate about AI advancements. Share your thoughts on recent developments in the field and how they could impact safety. This will demonstrate your enthusiasm and commitment to staying ahead in a dynamic environment.
✨Prepare for Technical Questions
Expect some technical questions that will test your software engineering skills. Practice explaining complex concepts clearly and concisely, as you might need to communicate these ideas to non-technical stakeholders as well.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to AI safety and how they envision the role evolving. This shows you're genuinely interested and thinking about how you can contribute to their mission.
