At a Glance
- Tasks: Join us in revolutionising forecasting accuracy with LLM agents and innovative experiments.
- Company: Exciting AI startup in London, backed by a world-class technical team.
- Benefits: Generous equity, competitive salary, and free lunch in a collaborative environment.
- Other info: In-person role in Camden with excellent career growth opportunities.
- Why this job: Make a real impact on decision-making in geopolitics, business, and technology.
- Qualifications: Strong coding skills, research experience, and a passion for statistics.
The predicted salary is between 60000 - 80000 £ per year.
About Mantic
Mantic is an AI startup based in London. Mantic's mission is to solve judgmental forecasting to radically improve decision-making. Judgmental forecasting involves making predictions in the absence of good statistical models, often on topics such as geopolitics, business & economics, policy, and technology. Human superforecasters use reasoning and research, and we're building an AI system that does the same. We have an unusually strong technical team, coming from previous work at Google DeepMind, Citadel, Foresight Data Machines, the Bank of England, Goldman Sachs, Palantir, the VGG group at the University of Oxford, and the University of Cambridge. According to Polymarket, Mantic is "by far the best performing AI forecasting system that we are aware of". Mantic placed 4th out of 500+ people in the most recent Metaculus Cup, a leading forecasting competition.
The role
We're looking for a mission-driven candidate to help us push the frontier of forecasting accuracy. The role will primarily involve working with LLM agents. You'll find improvements to scaffolding and run experiments, evaluating on internal benchmarks. The typical project length will be short (e.g. 1 week).
- Making new benchmarks
- Experimenting with new tools for letting LLMs express probability distributions
- Building out deep research agents
- Analyzing why we made bad predictions on certain questions
Your title will be Member of Technical Staff.
Essential
- Strong work ethic
- Strong coding ability
- Experience working on research projects
- Comfortable with statistics
Desired
- Experience with LLM agent frameworks
- Experience working in quant finance, an AI lab, an AI startup, or academic research on LLMs
- Strong academic results
- Evidence of exceptional ability or achievement (from any domain)
Location
In-person, 5 days per week. The Mantic offices are in Camden, on the King's Cross side. We will consider visa sponsorship for exceptional candidates. Mantic has a skilled worker sponsorship licence.
Benefits
- Generous equity
- Competitive salary
- Lunch
- Join a world-class team, working together on one of the world's most exciting problems
AI engineer / researcher (LLM agent focus) in London employer: mantic
Mantic is an exceptional employer for AI engineers and researchers, offering a unique opportunity to work at the forefront of judgmental forecasting in a vibrant London location. With a strong emphasis on collaboration and innovation, employees benefit from generous equity, competitive salaries, and a supportive work culture that fosters professional growth and development. Joining Mantic means being part of a world-class team dedicated to solving complex problems while enjoying the dynamic atmosphere of Camden.
StudySmarter Expert Advice🤫
We think this is how you could land AI engineer / researcher (LLM agent focus) in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI engineer / researcher (LLM agent focus) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at mantic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at mantic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
