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Member of Technical Staff at -performing AI forecasting startup major seed funding

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jack & Jill
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Member of Technical Staff at top-performing AI forecasting startup with major seed funding
Location: Greater London

Job Title

Member of Technical Staff

Company Description

Top-performing AI forecasting startup backed by a recent major seed round and $4M pre‑seed

Job Description

You will join a world-class technical team to solve judgmental forecasting using LLM agents. By building deep research agents and experimenting with probability distribution tools, you will improve decision‑making in geopolitics and economics. This role involves rapid experimentation cycles and pushing the frontier of AI accuracy alongside veterans from Deep Mind and Citadel.

Location

London, UK

Why this role is remarkable
  • Work with an elite technical team from Google Deep Mind, Citadel, Palantir, and Oxford VGG, tackling one of the most intellectually challenging problems in AI.
  • Join a project recognized by Polymarket as the best‑performing AI forecasting system, recently placing 4th out of 500+ participants in the prestigious Metaculus Cup.
  • Impact a mission‑driven product featured in The Atlantic and The Guardian that aims to radically improve global decision‑making through superior predictive reasoning.
What You Will Do
  • Design and implement LLM agent scaffolding to improve forecasting accuracy across geopolitics, business, and technology sectors.
  • Develop new benchmarks and tools that allow LLMs to express complex probability distributions and conduct deep autonomous research.
  • Conduct short, high‑impact experiments to analyze prediction failures and iterate on the system's reasoning capabilities within one‑week project cycles.
The ideal candidate
  • Possesses a strong work ethic and exceptional coding ability with a proven track record of delivering high‑quality research or technical projects.
  • Demonstrates comfort with statistics and probability, ideally with experience in quantitative finance, AI labs, or advanced academic research on LLMs.
  • Shows evidence of exceptional achievement in any domain and is eager to work in‑person 5 days per week in a high‑intensity London office.
Salary

Not Disclosed

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