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- Tasks: Join a top team to build advanced AI systems and improve forecasting accuracy.
- Company: Mantic, a leading AI forecasting startup with an elite technical team.
- Benefits: Competitive salary, innovative projects, and the chance to work remotely.
- Why this job: Make a real impact in AI and work alongside alumni from Google DeepMind and Palantir.
- Qualifications: Strong coding skills, experience in AI labs, and a passion for statistics.
- Other info: Dynamic environment with opportunities for rapid career growth.
The predicted salary is between 36000 - 60000 £ per year.
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.
Location: London, UK
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.
Member of Technical Staff at Mantic employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff at Mantic
✨Tip Number 1
Get to know Jack! He’s your go-to AI for understanding what you bring to the table and what you want from your career. A quick chat with him can open doors to opportunities that fit you perfectly.
✨Tip Number 2
Don’t underestimate the power of networking! Reach out to your connections in the AI field, especially those who might know someone at Mantic. A personal introduction can make a world of difference.
✨Tip Number 3
Prepare for your chat with Jill by brushing up on your knowledge of LLMs and AI forecasting. Show her you’re not just a great coder but also passionate about the cutting-edge work Mantic is doing.
✨Tip Number 4
Keep an eye on our website for updates and new roles. We’re always on the lookout for top talent, and applying through us means you’ll have a better chance of getting noticed by Jill!
We think you need these skills to ace Member of Technical Staff at Mantic
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding abilities and any relevant experience in AI or statistics. We want to see what makes you stand out, so don’t hold back on showcasing your achievements!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that relate to LLM frameworks and agentic behaviour. This shows us you’re genuinely interested and have done your homework.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s necessary. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don’t forget to apply through our website! Click 'Talk to Jack' to get started. This way, we can ensure your application gets the attention it deserves and you’ll be one step closer to joining our elite team.
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially LLM frameworks. Be ready to discuss your experience with coding and any projects you've worked on that relate to AI forecasting. This will show that you're not just a candidate, but someone who understands the field deeply.
✨Show Off Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, particularly in research-intensive environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you tackled complex problems and what the outcomes were.
✨Get Familiar with Mantic's Work
Do your homework on Mantic and their achievements in AI forecasting. Knowing about their recent successes, like placing 4th in the Metaculus Cup, will help you connect your skills to their mission and demonstrate genuine interest in the company.
✨Ask Insightful Questions
Prepare thoughtful questions that show your curiosity about the role and the team. Inquire about their current projects, the technologies they use, or how they measure success in their forecasting models. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.