At a Glance
- Tasks: Conduct original research to ensure AI is safe and trustworthy.
- Company: Leading academic institution in London focused on AI safety.
- Benefits: Competitive salary, research funding, and opportunities for collaboration.
- Other info: Collaborative environment with potential for career advancement.
- Why this job: Shape the future of AI safety and make a real-world impact.
- Qualifications: Experience in AI research, Python, and a passion for safety standards.
The predicted salary is between 56700 - 69300 £ per year.
Faculty in London is seeking a Research Scientist - AI Safety to conduct original technical research and build safe, trustworthy AI deployments. You will design experiments, study model behaviour, and develop robust tooling, collaborating with senior scientists to translate findings for external partners and security institutes. The role focuses on practical safety testing, interpretability, and reproducible code in Python (PyTorch), with opportunities to shape emerging safety standards.
AI Safety Research Scientist — Build Safe, Trustworthy AI in London employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer, particularly for the Head of Banking role, where you will lead transformative AI initiatives in a dynamic banking landscape. Our culture fosters innovation and collaboration, offering unlimited annual leave, private healthcare, and family-friendly flexibility to ensure a healthy work-life balance. With a strong commitment to employee growth through mentorship and coaching, we empower our team to thrive in a supportive environment that values diverse perspectives and encourages meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Safety Research Scientist — Build Safe, Trustworthy AI in London
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We think you need these skills to ace AI Safety Research Scientist — Build Safe, Trustworthy AI in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Faculty. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Faculty
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
