The posting
Who we are
Since 1843, The Economist Group has championed independence, excellence and openness, helping people understand and tackle the critical challenges shaping the world. Today, we are building on that legacy as a global media and information-services company powered by digital innovation, analytical rigour and evidence-based insight.
Across our three businesses -The Economist, Economist Enterprise and Economist Education - we deliver trusted analysis and insights to individuals and organisations in more than 170 countries. United by a shared purpose to drive progress, we empower decision-makers to make sense of change and chart a course through an increasingly complex world.
As a colleague, you will be part of a culture that values ideas, encourages ownership and holds itself to high standards. We invest in people who are curious, thoughtful and adaptable, whether they are launching new products, reporting on global events or harnessing emerging technologies such as AI to improve how we work. Here, fresh thinking is taken seriously, ambition is matched by integrity, and great work is recognised. Working across disciplines, geographies and perspectives, we are united by a commitment to innovation, excellence and creating meaningful impact.
Want to discover more about life at The Economist Group? Follow @EconomistCareers on Instagram to discover the people, stories and opportunities that make TEG unique.
The Opportunity
The Economist Group is a global media and information services company committed to championing progress. We equip individuals and organisations with expertise, insights, and perspectives to navigate change and drive growth.
This is a full-time role at the centre of our new AI Lab, a small team exploring how generative AI might shape the future of Economist journalism. This role will focus on building and fine-tuning LLM-powered systems with a particular focus on editorial tone, style transfer, retrieval workflows, and multimodal generation (especially audio).
You’ll ship products from zero-to-one and see your ideas directly influence how millions of readers interact with our journalism. If you enjoy working close to design, iterating fast, and building novel interactions across text, voice, and visuals, we’d love to hear from you. You'll be one of the first three engineers in a dedicated lab, working alongside the Tech Lead, Design Lead and Product Lead.
What You’ll Do
- Fine-tune large language models (LLMs) for style and tone alignment with The Economist’s editorial voice
- Design, curate, and manage datasets used for fine-tuning, including versioning and annotation workflows
- Build and evaluate RAG pipelines that incorporate retrieval from structured content
- Prototype and test TTS (text-to-speech) pipelines for use in audio-first products (leveraging tools like ElevenLabs, OpenAI TTS etc)
- Collaborate with infra, frontend, and design leads to ship internal tools and demos that explore GenAI capabilities
- Own quality evaluation pipelines (BLEU, ROUGE, editorial scoring, custom evals), including human-in-the-loop feedback loops
- Support product experiments where real-time generation, summarisation, or personalization are being tested
- Partner directly with journalists and editors to develop novel evaluation metrics that capture the nuances of The Economist's tone and style
What We are Looking For:
- 3+ years experience building with LLMs or NLP pipelines (ideally hands-on with OpenAI, Claude, Cohere, Gemini, Mistral, HuggingFace)
- Experience with supervised fine-tuning (SFT), prompt tuning, or instruction tuning on proprietary datasets
- Strong understanding of fine-tuning paradigms, from SFT to the principles behind RLHF/RLAIF preference modeling
- Strong Python skills, including working with LangChain, HuggingFace Transformers, and data pipelines (Pandas, DVC, Weights & Biases)
- Comfortable defining and tracking generation quality with eval metrics like BLEU, ROUGE, and building editorial-specific evaluators
- Exposure to STT / TTS tools for prototyping (e.g., Whisper, ElevenLabs, Bark, etc.)
- Strong communication and collaboration mindset — able to work closely with editorial and product stakeholders
- Curious and exploratory — comfortable working in ambiguity and pushing the boundaries of GenAI capabilities
Strong Candidates Might Also Have
- Experience fine-tuning models for style or persona (e.g. chatbots with specific character voices)
- Exposure to LangSmith or similar observability tools for prompt / LLM testing
- Knowledge of voice synthesis, cloning, or emotion conditioning in audio pipelines
- Previous work in media, journalism, podcasting, or content production contexts
- Familiarity with multi-modal generation (text + image + audio), or interest in pushing toward that frontier
- Contributions to open-source LLM tools or libraries
- An interest in the ethical, editorial, and philosophical questions raised by AI-generated content
More About the Economist AI Lab
We believe AI will fundamentally change both our business and the world around us, making our mission more vital than ever. While we already use AI across The Economist Group, we think the changes to come in the next few years could be even more far-reaching.
This is why we are launching the Economist AI Lab - to reimagine Economist journalism for an AI-driven world. It is a deliberately ambitious project, exploring new ideas and possibilities beyond our existing AI initiatives and engineering roadmap.
A small, dedicated team, the AI Lab will serve as an innovation engine for The Economist – investigating bold new ideas that will shape how we serve our global audience in the future.
#LI-Hybrid
Working Arrangements
The majority of our roles operate on a hybrid working pattern, with 3+ days office attendance required.
AI usage for your application
We are an innovative organisation that encourages the use of technology. We recognise that candidates may utilise AI tools to support with their job application process. However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications.
What we offer
Our benefits package is designed to support your wellbeing, growth, and work-life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program.
We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 25 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home.
You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more.
