At a Glance
- Tasks: Join us in revolutionising forecasting accuracy with LLM agents and innovative experiments.
- Company: Exciting AI startup in London with a mission to enhance decision-making.
- Benefits: Generous equity, competitive salary, and free lunch in a collaborative environment.
- Other info: In-person role in Camden with potential visa sponsorship for exceptional candidates.
- Why this job: Be part of a world-class team tackling one of the most thrilling challenges in AI.
- 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).
Example activities:
- 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
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) employer: mantic
Mantic is an exceptional employer located in the vibrant area of Camden, London, offering a unique opportunity to work alongside a world-class technical team dedicated to revolutionising decision-making through AI. With a strong focus on employee growth, competitive salaries, generous equity, and a collaborative work culture, Mantic fosters an environment where innovative minds can thrive while tackling some of the most exciting challenges in forecasting accuracy. Join us to be part of a mission-driven team that values your contributions and supports your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI engineer / researcher (LLM agent focus)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like mantic!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like mantic.
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We think you need these skills to ace AI engineer / researcher (LLM agent focus)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at mantic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at mantic!
✨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.
