Member of Technical Staff at Mantic

Jack & Jill; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A prominent AI forecasting startup in London is seeking a Member of Technical Staff to join their elite technical team. In this role, you will develop advanced AI systems and work with LLM agents to improve predictive accuracy. The ideal candidate possesses exceptional coding skills and experience in AI labs or research-intensive environments. This position offers the opportunity to work on groundbreaking challenges in AI and make a tangible impact on forecasting methodologies.

Qualifications

• Proven track record of delivering high-quality results in research-intensive environments.
• Experience in AI labs, quant finance, or academic research focusing on LLM frameworks.
• Evidence of extraordinary achievement, such as top-tier academic results.

Responsibilities

• Develop and optimize LLM agent scaffolding for improved forecasting accuracy.
• Build sophisticated deep research agents for complex probability distribution analysis.
• Conduct post-mortem analyses on incorrect predictions to improve agent frameworks.

Skills

Exceptional coding ability

Strong work ethic

Deep comfort with statistics

Job description

Job Title

Member of Technical Staff

Company Description

Mantic - High-performance AI forecasting startup

Location

London, UK

Job Description

Join an elite technical team to solve judgmental forecasting by building advanced AI systems. You will work primarily with LLM agents, designing scaffolds and running rapid experiments to improve predictive accuracy. This role offers the unique chance to outperform human superforecasters and shape decision‑making in geopolitics, business, and technology.

Why this role is remarkable

• Work with an elite technical team of alumni from Google DeepMind, Citadel, Oxford's VGG, and Palantir on one of the most challenging problems in AI.
• Mantic is already recognized by Polymarket and The Guardian as a world‑leading AI forecasting system, recently placing 4th out of 500+ participants in the Metaculus Cup.
• You will have direct impact on the frontier of AI reasoning, transitioning from statistical models to agents that perform deep research and complex probability distribution analysis.

What you will do

• Develop and optimize LLM agent scaffolding to improve forecasting accuracy through rapid one‑week project cycles and internal benchmarking.
• Build sophisticated deep research agents and experiment with novel tools that enable LLMs to express and refine complex probability distributions.
• Conduct detailed post‑mortem analyses on incorrect predictions to identify systemic reasoning flaws and implement architectural improvements to the agent frameworks.

The ideal candidate

• Possesses exceptional coding ability and a strong work ethic, with a proven track record of delivering high‑quality results in research‑intensive environments.
• Demonstrates a deep comfort with statistics and experience in AI labs, quant finance, or academic research focusing on LLM frameworks and agentic behavior.
• Shows evidence of extraordinary achievement, such as top‑tier academic results or success in competitive environments like math olympiads or elite engineering programs.