At a Glance
- Tasks: Lead impactful AI research to ensure safe deployment of cutting-edge technology.
- Company: Join Faculty, a leader in responsible AI innovation since 2014.
- Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
- Other info: Diverse team culture that values unique perspectives and encourages growth.
- Why this job: Shape the future of AI safety and make a real-world impact.
- Qualifications: Proven experience in AI research and deep knowledge of generative models.
The predicted salary is between 36000 - 60000 £ per year.
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.
About the Team: Faculty’s Research team conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1. Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer‑reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety‑relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape.
About the role: We are seeking a Senior Research Scientist to join our high‑impact R&D. You will lead novel research that advances scientific understanding and fuels our ambition to build safe AI systems. This is a crucial opportunity to join a small, high‑agency team conducting vital red‑team and evaluations for frontier models in sensitive areas like cybersecurity and national security. You’ll shape the future of safe AI deployment in the real world.
What you’ll be doing:
- Owning and driving forward high‑impact AI research themes in AI safety.
- Contributing to the wider vision and development of Faculty’s AI safety research agenda.
- Supporting Faculty’s positioning as a leader in AI safety through thought leadership and stakeholder engagement.
- Shaping our research agenda by identifying impactful opportunities and balancing scientific and practical priorities.
- Leading technical research within the AI Safety space, from concept to publication.
- Supporting the delivery of evaluations and red‑team projects in high‑risk domains, such as CBRN and cybersecurity, with government and commercial partners.
Who we’re looking for:
- You have a track record of working with high‑impact AI research, evidenced by top‑tier academic publications or equivalent experience.
- You bring proven experience or a clear passion for Applied AI safety, perhaps from labs, academia, or evaluation and red‑team roles.
- You possess deep domain knowledge in language models and generative AI model architectures, including fine‑tuning techniques beyond API‑level implementation.
- You have practical machine learning experience, with a focus on areas such as robustness, explainability, or uncertainty estimation.
- You are proficient with deep learning frameworks (PyTorch, TensorFlow, or similar) and familiar with the HuggingFace ecosystem or equivalent ML tooling.
- You have demonstrable Python engineering experience to build and support robust research projects.
- You have the ability to conduct and oversee complex technical research projects and possess excellent verbal and written communication skills.
Our Recruitment Ethos: We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family‑Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working (2 days in our Old Street office, London)
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - talent@faculty.ai. Please know we are open to conversations about part‑time roles or condensed hours.
Senior Research Scientist - AI Safety employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As the Head of Banking AI Transformation, you will have the opportunity to lead transformative projects in a rapidly evolving sector while benefiting from our commitment to employee growth through continuous learning and development. Located in a vibrant area, our team enjoys a supportive environment that values diversity and encourages meaningful contributions to the financial services landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Scientist - AI Safety
✨Tip Number 1
Network like a pro! Reach out to people in the AI safety field, attend relevant meetups or conferences, and don’t be shy about sharing your passion for responsible AI. Building connections can lead to opportunities that aren’t even advertised!
✨Tip Number 2
Showcase your expertise! Create a portfolio of your research projects, publications, or any relevant work. This not only highlights your skills but also demonstrates your commitment to advancing AI safety. Make sure to share it during interviews!
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of language models and generative AI architectures. Be ready to discuss your experience with deep learning frameworks like PyTorch or TensorFlow, as well as your approach to tackling complex research problems.
✨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 hearing from candidates who are genuinely excited about making a positive impact in AI safety.
We think you need these skills to ace Senior Research Scientist - AI Safety
Some tips for your application 🫡
Show Your Passion for AI Safety:When writing your application, let your enthusiasm for AI safety shine through! Share specific examples of your past work or research that align with our mission at Faculty. We want to see your intellectual curiosity and how it connects to the role.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this position. Highlight your experience in high-impact AI research and any relevant publications. We love seeing how your background fits into our vision for responsible AI!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your skills and experiences. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Faculty.
How to prepare for a job interview at Faculty
✨Know Your AI Safety Stuff
Make sure you brush up on the latest trends and research in AI safety. Familiarise yourself with key concepts like robustness, explainability, and uncertainty estimation. Being able to discuss these topics confidently will show that you're not just knowledgeable but also genuinely passionate about the field.
✨Showcase Your Research Experience
Prepare to talk about your previous research projects, especially those that have led to publications or significant findings. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your ability to lead complex technical research projects.
✨Engage with Their Vision
Understand Faculty's mission and how they position themselves in the AI landscape. Think about how your skills and experiences align with their goals. During the interview, express your enthusiasm for contributing to their AI safety research agenda and how you can help shape impactful opportunities.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come prepared with insightful questions about the team, ongoing projects, and the company culture. This not only shows your interest but also helps you gauge if this is the right fit for you. Ask about their approach to red-teaming and evaluations in high-risk domains!