You will own the transition from frontier research to production, building models that simulate thousands of individuals in real-time. By post-training and distilling language models, you’ll enable Fortune 500 organizations to test strategies against simulated populations, solving complex combinatorial problems at the absolute edge of machine learning capability and scale.
ML Engineer at Artificial Societies Ltd
Artificial Societies Ltd is building the "AlphaFold for societies," a Societal World Model backed by Y Combinator and Point72 Ventures. As an ML Engineer, you will take frontier research from prototype to production, simulating how millions of people think and interact to inform strategy for $3T+ market cap clients. This London-based role offers £100k-£180k plus equity for experts in LLM post-training and high-scale inference who want to solve combinatorial problems at the edge of what is possible.
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Location
London, United Kingdom
Compensation
£100k-£180k + Equity
Company
Artificial Societies Ltd
Role overview
Artificial Societies Ltd (operating via the domain societies.io) is an AI startup that builds networks of AI personas to simulate entire human societies and stakeholder opinions for behavioral research and market testing. Using AI-generated synthetic personas connected in social graphs, the platform runs simulations of how defined audiences interact, influence one another, and respond to messages, products, campaigns, or policies, then returns quantitative scores and qualitative outputs such as written summaries, comments, and example reactions. This enables marketers, creatives, researchers, and policy makers to forecast real-world outcomes, refine messaging and content, test marketing strategies pre-launch, and explore complex social dynamics in a virtual environment that mimics real-world behavior. The company positions its simulations as a modern alternative to traditional market research, supporting use cases in marketing, sociology, economics, urban planning, and broader decision-making where understanding group reactions and idea propagation is critical.
What you will do
- Take novel research prototypes and turn them into production-grade simulation systems that deliver actionable insights to the world’s most influential organizations.
- Post-train, fine-tune, and distil frontier language models to make large-scale simulations fast, efficient, and nuanced enough to represent real-world populations.
- Design and own the end-to-end data pipelines and inference infrastructure required to serve simulations of thousands of individuals reliably and at scale.
Who this is a fit for
- Has at least 2+ years of experience shipping machine learning models into production within a fast-paced startup environment, taking ownership from notebook to user.
- Possesses deep hands-on expertise in post-training language models, including RL, distillation, and reward design, rather than just classical machine learning techniques.
- Writes high-quality, maintainable Python and maintains a strong intuition for statistics, probability, and reasoning within high-dimensional spaces to solve hard frontier problems.
Why this role is remarkable
- Work on a “Societal World Model,” tackling combinatorial challenges harder than protein folding to simulate how specific individuals influence each other across a multiverse of scenarios.
- Join an elite team backed by Y Combinator, Point72 Ventures, and Kindred Capital, featuring investors from DeepMind and Sequoia Scout who are redefining social science through ML.
- Deploy systems at massive scale; our simulations have previously utilized 2% of Google’s global AI throughput to inform strategies for clients with over $3T in market cap.
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If your profile’s a match and Artificial Societies Ltd wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.