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- Tasks: Fine-tune large language models and evaluate AI-generated content for editorial alignment.
- Company: Join a leading global media company at the forefront of AI innovation.
- Benefits: Enjoy a competitive salary, lifestyle benefits, and a hybrid working model.
- Why this job: Make an impact in the exciting world of AI and editorial voice.
- Qualifications: 3+ years of experience with LLMs or NLP pipelines and strong Python skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading global media company seeks a dedicated engineer for their AI Lab in London. The role involves fine-tuning large language models, managing datasets, and evaluating AI-generated content's editorial alignment.
Candidates should have over 3 years of experience with LLMs or NLP pipelines and strong Python skills.
This position has a hybrid working model, requiring 3 or more days in the office, and offers various lifestyle benefits along with a competitive salary.
AI Engineer - GenAI Lab for Editorial Voice in London employer: The Economist
Contact Detail:
The Economist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - GenAI Lab for Editorial Voice in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with LLMs or NLP pipelines. This could be a GitHub repo or a personal website where you demonstrate your Python prowess and projects you've tackled.
✨Tip Number 3
Prepare for the interview by brushing up on common AI and editorial alignment questions. We recommend practising with friends or using mock interviews to get comfortable discussing your experience and technical skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer - GenAI Lab for Editorial Voice in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with large language models and NLP pipelines. We want to see your Python skills shine, so don’t hold back on showcasing relevant projects or achievements!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention how your background aligns with the responsibilities of fine-tuning models and managing datasets. It helps us see why you’re the perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your experience and what you bring to the table.
Apply Through Our Website: We encourage you 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’s super easy!
How to prepare for a job interview at The Economist
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models. Be prepared to discuss your experience with fine-tuning and managing datasets, as well as any specific projects you've worked on that relate to editorial alignment.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem or explain your approach to building NLP pipelines, so practice coding challenges beforehand.
✨Understand the Company’s Editorial Voice
Research the media company’s editorial style and voice. Familiarise yourself with their content and think about how AI can enhance their editorial processes. This will show your genuine interest in the role and help you align your answers with their values.
✨Prepare Questions About the Hybrid Model
Since the position requires a hybrid working model, prepare thoughtful questions about how the team collaborates in the office versus remotely. This shows you're considering how to integrate into their work culture and are proactive about your work environment.
