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- Tasks: Design and run experiments to explore AI's societal effects.
- Company: Leading AI research organisation in the UK with a focus on societal impacts.
- Benefits: Competitive salary, hybrid working options, and invaluable experience.
- Why this job: Influence critical AI projects and policy while making a real difference.
- Qualifications: Experience with scalable Python code and knowledge in data and ML engineering.
- Other info: Join a dynamic team dedicated to understanding AI's impact on society.
The predicted salary is between 30000 - 50000 £ per year.
A leading AI research organization in the UK is looking for engineers and researchers to join their Societal Impacts team. The role involves designing and running experiments that explore the societal effects of AI.
Candidates should have experience with scalable Python code, knowledge in data engineering and ML engineering, and a strong interest in the societal impacts of AI.
This position offers a competitive salary, hybrid working options, and invaluable experience working on critical AI projects with direct influence on policy.
Research Engineer — Societal AI Impacts (Hybrid) employer: Aisafety
Contact Detail:
Aisafety Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer — Societal AI Impacts (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any experiments you've run related to societal impacts of AI. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI's societal effects. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Research Engineer — Societal AI Impacts (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with scalable Python code and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about the societal impacts of AI and how your background makes you a great fit for our team. Keep it engaging and personal.
Showcase Relevant Experience: When detailing your experience, focus on projects that demonstrate your understanding of ML engineering and societal implications. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Aisafety
✨Know Your AI Stuff
Make sure you brush up on the latest trends and research in AI, especially regarding its societal impacts. Be ready to discuss how your experience with Python and data engineering can contribute to understanding these effects.
✨Showcase Your Experimentation Skills
Prepare to talk about any experiments you've designed or run in the past. Highlight your approach to testing hypotheses and analysing results, as this will demonstrate your hands-on experience and problem-solving abilities.
✨Connect with Their Mission
Research the organisation's projects and values. Be prepared to express why you're passionate about the societal implications of AI and how you see yourself contributing to their goals. This shows genuine interest and alignment with their mission.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the organisation. Inquire about their current projects, challenges they face in societal AI impacts, and how they measure success. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.