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For Companies At a Glance
- Tasks: Evaluate scientific risks and develop safeguards for AI models in a cutting-edge lab.
- Company: Join Lila Sciences, the first scientific superintelligence platform revolutionising research.
- Benefits: Competitive salary, inclusive culture, and opportunities for groundbreaking research.
- Why this job: Be at the forefront of AI safety and make a real impact on global challenges.
- Qualifications: Bachelor's degree in a technical field and strong programming skills in Python.
- Other info: Dynamic environment with opportunities for career growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
What You'll Be Building
- Evaluations to test for scientific risks (both known but especially novel) from cutting edge scientific models integrated with automated physical labs.
- Initial proof-of-conception safeguards, such as ML models to detect and block unsafe behaviour from scientific AI models, as well as from physical lab outputs.
- Understanding of a range of model capabilities, across primarily scientific but also non-scientific domains (e.g. persuasion, deception) to inform Lila's broader safety strategy.
- Broader, high-quality research efforts – as and when needed – for scientific capability evaluation and restriction.
What You'll Need to Succeed
- Bachelor's degree in a technical field (e.g., computer science, engineering, machine learning, mathematics, physics, statistics), or related experience.
- Strong programming skills in Python, and experience with ML frameworks (including, for instance, Inspect) for large-scale evaluation and scaffolded testing.
- Experience in building evaluations, or conducting red-teaming exercises, for CBRN / cyber risks (or for frontier model capabilities more generally, including both unsafe and benign capabilities).
- Experience in designing and/or implementing (directly or through consultation) AI safety frameworks for frontier AI companies.
- Ability to communicate complex technical concepts and concerns to non-expert audiences effectively.
Bonus Points For
- Masters or PhD in a field relevant to safety evaluations of AI models in scientific domains, or a technical field.
- Publications in AI safety / evaluations / model behaviour in top ML / AI conferences (NeurIPS, ICML, ICLR, ACL) or model release system cards.
- Experience researching risks from novel science (e.g. biosecurity, computational biology, etc.) or working with narrow scientific tools (e.g. large scale foundation models for science).
About Lila
Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
Scientist/Sr. Scientist, AI Safety in London employer: Lila Sciences
Contact Detail:
Lila Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientist/Sr. Scientist, AI Safety in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI safety field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or research that highlight your programming prowess in Python or ML frameworks, make sure to discuss them in interviews. Real-world examples speak volumes.
✨Tip Number 3
Prepare for those tricky questions! Brush up on how to explain complex concepts simply. You want to show you can communicate effectively with both techies and non-techies alike.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our mission at Lila Sciences.
We think you need these skills to ace Scientist/Sr. Scientist, AI Safety in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that are most relevant to the Scientist/Sr. Scientist role. We want to see how your background in programming, AI safety frameworks, and scientific evaluations aligns with what we're building at Lila.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI safety and how your unique experiences can contribute to our mission. We love seeing genuine enthusiasm for what we do!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving ML frameworks or safety evaluations, make sure to mention them. We’re keen to see practical examples of your work that demonstrate your capabilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Lila Sciences
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around AI safety frameworks and machine learning models. Be ready to discuss your experience with Python and any relevant ML frameworks, as this will likely come up during the interview.
✨Showcase Your Experience
Prepare specific examples of your past work related to evaluations or red-teaming exercises. Highlight any projects where you've assessed scientific risks or implemented safety measures, as this will demonstrate your hands-on experience in the field.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You might be asked to communicate technical ideas to non-experts, so being able to break down your work into digestible pieces is crucial for success.
✨Stay Curious and Engaged
Show your enthusiasm for the role and the mission of Lila Sciences. Ask insightful questions about their projects and future directions in AI safety. This not only shows your interest but also helps you gauge if the company aligns with your values.