At a Glance
- Tasks: Tackle complex AI challenges in uncertainty quantification and conformal prediction.
- Company: Join a pioneering AI lab founded by ex-OpenAI and Google DeepMind researchers.
- Benefits: Competitive salary, cutting-edge projects, and the chance to shape the future of AI.
- Other info: Work in a stealth mode environment with significant VC backing and growth potential.
- Why this job: Be at the forefront of AI innovation and make a real impact on technology.
- Qualifications: Experience in conformal prediction, uncertainty quantification, and statistical learning theory.
The predicted salary is between 60000 - 80000 £ per year.
Early stage frontier AI lab founded by ex-OpenAI, MSL and Google DeepMind researchers. Significant backing from tier 1 VCs. Currently in deep stealth mode.
We're hiring a number of Research Scientists to work on conformal prediction and uncertainty quantification. You'll solve one of the hardest problems in applied AI: making LLMs and multi-agent systems reliably aware of their own uncertainty.
Your focus:
- Conformal prediction for LLMs and agentic systems
- Uncertainty quantification under distribution shift and changing market regimes
- Selective prediction and abstention mechanisms
- Calibration and confidence aggregation across multiple agents
- Translating cutting-edge research into production systems
Experience we're interested in:
- Conformal prediction, conformal inference, uncertainty quantification and statistical learning theory
- Probabilistic modelling, online learning, or Bayesian methods
Ideal experience:
- Foundation models, generative AI, or multi-agent systems
- PyTorch, JAX, and large-scale ML systems
Research Scientist (Conformal Prediction) in Bristol employer: Fabrik Talent
Join a pioneering AI lab at the forefront of innovation, where you'll collaborate with leading experts from OpenAI, MSL, and Google DeepMind. Our dynamic work culture fosters creativity and growth, offering you the chance to tackle complex challenges in AI while benefiting from significant venture capital backing. With a focus on employee development and a commitment to translating groundbreaking research into real-world applications, this is an exceptional opportunity for those looking to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist (Conformal Prediction) in Bristol
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We think you need these skills to ace Research Scientist (Conformal Prediction) in Bristol
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 Fabrik Talent, 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 Fabrik Talent. 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 Fabrik Talent
✨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 Fabrik Talent!
✨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.
