At a Glance
- Tasks: Conduct original research in AI safety and design experiments to ensure trustworthy AI.
- Company: Join Faculty Science Limited, a leader in AI safety research with a collaborative spirit.
- Benefits: Enjoy hybrid work, flexible hours, and opportunities for impactful contributions.
- Other info: Be part of a dynamic team driving innovation in AI safety.
- Why this job: Shape the future of AI safety and contribute to high-impact research and standards.
- Qualifications: Strong background in AI research and excellent communication skills.
The predicted salary is between 63000 - 77000 £ per year.
Faculty Science Limited is seeking a Research Scientist to conduct original technical research in AI safety.
You will design experiments, study model behavior, and develop robust tooling to support safe, trustworthy AI deployment.
Working with Senior and Lead Research Scientists, you will translate complex technical insights for external partners and safety institutes, shaping emerging safety standards and contributing to high-impact papers and reports.
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AI Safety Research Scientist — Hybrid Work & Flexible Hours employer: Faculty Science Limited
At Faculty Science Limited, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As a Proactive IT Support & Security Analyst, you'll enjoy the benefits of hybrid working, hands-on experience in cutting-edge security projects, and ample opportunities for professional growth in a fast-paced environment. Join us to be part of a team that values your contributions and supports your career development.
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We think this is how you could land AI Safety Research Scientist — Hybrid Work & Flexible Hours
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We think you need these skills to ace AI Safety Research Scientist — Hybrid Work & Flexible Hours
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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✨Brush Up on Your Statistics
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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.
