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- Tasks: Join a top AI team to enhance forecasting accuracy using LLM agents.
- Company: Leading AI forecasting startup with major seed funding.
- Benefits: Competitive salary, dynamic work environment, and opportunities for rapid growth.
- Other info: Fast-paced office in London with a focus on innovation and collaboration.
- Why this job: Work alongside industry veterans on groundbreaking AI projects that impact global decision-making.
- Qualifications: Strong coding skills and experience in statistics or AI research.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Top-performing AI forecasting startup backed by a recent major seed round and $4M pre-seed.
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 DeepMind and Citadel.
Location: London, UK
Why this role is remarkable:
- Work with an elite technical team from Google DeepMind, 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 quant 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.
Member of Technical Staff at top-performing AI forecasting startup with major seed funding employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff at top-performing AI forecasting startup with major seed funding
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who might be connected to the startup. Use LinkedIn or even Twitter to engage with them. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! If you’ve got projects or research that align with what they’re doing, make sure to highlight them. Create a portfolio or GitHub repo showcasing your work with LLMs or any relevant coding projects. This is your chance to shine!
✨Tip Number 3
Prepare for the interview like it’s the Olympics! Research the company’s recent achievements and their approach to AI forecasting. Be ready to discuss how your skills can contribute to their mission. Practise common technical questions and be prepared to solve problems on the spot.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the team. Let’s get you that dream job!
We think you need these skills to ace Member of Technical Staff at top-performing AI forecasting startup with major seed funding
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Member of Technical Staff. Highlight any relevant projects or research you've done, especially those involving AI, LLMs, or forecasting.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI forecasting and how your background makes you a perfect fit for our team. Don’t forget to mention any standout achievements!
Showcase Your Technical Skills: We want to see your coding prowess! Include specific examples of your technical projects, especially those that demonstrate your ability to work with statistics, probability, or AI tools. This will help us understand your hands-on experience.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Jack & Jill
✨Know Your Stuff
Make sure you brush up on the latest advancements in AI and LLMs. Familiarise yourself with key concepts in judgmental forecasting and probability distributions, as these will likely come up during your interview. Being able to discuss recent research or breakthroughs can really impress the interviewers.
✨Showcase Your Projects
Prepare to talk about your previous work, especially any technical projects or research you've done that relates to AI or forecasting. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and coding ability.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with thoughtful questions about the company’s projects and future direction. Inquire about their approach to rapid experimentation cycles or how they measure success in their forecasting models. This shows your genuine interest in the role and the company.
✨Emphasise Teamwork
Given that you'll be working with a world-class team, highlight your experience collaborating with others on complex projects. Share examples of how you’ve contributed to team success and how you handle feedback. This will show that you’re not just a great coder, but also a great teammate.