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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 perks, and a hybrid working model.
- Why this job: Make an impact in the exciting world of AI and media with your skills.
- 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 43200 - 72000 £ 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 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
✨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! Prepare a portfolio or a GitHub repository showcasing your projects with LLMs or NLP pipelines. This is your chance to demonstrate your Python prowess and make a lasting impression.
✨Tip Number 3
Ace the interview by practising common questions related to AI and editorial alignment. We recommend doing mock interviews with friends or using online platforms to boost 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 AI Engineer - GenAI Lab for Editorial Voice
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 how your Python skills shine through in your previous projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that align with the job description, especially around fine-tuning models and evaluating AI-generated content.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re the perfect fit for our AI Lab!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our London office!
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 specific models you've worked with, how you've fine-tuned them, and the challenges you've faced. This will show your depth of experience and understanding of the technology.
✨Showcase 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 managing datasets. Practising common Python tasks related to NLP can give you an edge.
✨Understand Editorial Alignment
Familiarise yourself with what editorial alignment means in the context of AI-generated content. Be prepared to discuss how you would evaluate AI outputs for quality and relevance, as this is crucial for the role. Having examples from your past work can really help here.
✨Embrace the Hybrid Model
Since this position requires a hybrid working model, think about how you can effectively collaborate in both office and remote settings. Be ready to share your thoughts on maintaining productivity and communication in a flexible work environment.
