Member of Technical Staff at Mantic with Equity Compensation
London, England, United Kingdom · Full Time
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Job description
About Mantic
Mantic is an AI startup based in London, recently securing a $23 million seed investment. With leadership experience from renowned organizations such as DeepMind and Citadel, the company focuses on advancing judgmental forecasting by developing AI systems that surpass human superforecasters in predicting complex geopolitical, economic, and technological events.
Job Overview
As a Member of Technical Staff, you will contribute to pushing the boundaries of forecasting precision by designing and refining Large Language Model (LLM) agents. Your work will span brief, impactful cycles aimed at enhancing agent scaffolding, conducting experimental research, and establishing in-house benchmarks. The position emphasizes enabling LLMs to articulate intricate probability distributions and reason over ambiguous real-world datasets, ultimately improving global decision-making accuracy.
Key Responsibilities
- Develop and optimize sophisticated scaffolding systems for LLM agents to enhance reasoning and investigative capabilities.
- Create, implement, and oversee internal benchmarks to assess forecasting accuracy in various domains such as geopolitics and economics.
- Examine model errors and inaccurate predictions to continuously refine AI systems' representation of complex probabilistic reasoning.
Candidate Profile
- Exceptional programming skills combined with substantial experience in technical research, particularly involving LLM agent frameworks.
- Strong proficiency with statistical concepts and quantitative reasoning applied to uncertain and judgmental forecasting challenges.
- Demonstrates a rigorous, high-performance work ethic supported by notable achievements, likely from backgrounds in AI research labs, quantitative finance, or academic research.
Why Join Mantic?
- Engage with cutting-edge AI forecasting technology, recognized as a top performer by platforms like Polymarket.
- Collaborate with a distinguished technical team with alumni from Google DeepMind, Citadel, Goldman Sachs, Oxford, and Cambridge.
- Join a financially robust startup with a $23 million seed round and prior $4 million pre-seed funding, ensuring solid runway and growth opportunities.
Additional Information
This opportunity is based in London and involves onsite work. Compensation details remain undisclosed but include equity options.