At a Glance
- Tasks: Research and implement cutting-edge Bayesian Optimisation techniques for material science experiments.
- Company: Matterhorn Studio, a leader in innovative machine learning solutions.
- Benefits: Hybrid work model, opportunity to publish research, and collaboration with top scientists.
- Other info: Join a dynamic team focused on peer-reviewed advancements in technology.
- Why this job: Shape the future of material science while advancing your career in machine learning.
- Qualifications: MSc/PhD level experience in Machine Learning and Bayesian Optimisation required.
The predicted salary is between 50000 - 70000 £ per year.
We are looking for a Machine Learning Scientist in Bayesian Optimisation. You will be working closely together with scientists in the materials space to build machine learning models (OptApps) that will inform laboratory experimentation schedules, anywhere from complete-manual to fully self-driving.
Specifically, there will be an emphasis to identify, implement and test models for concrete sciences.
You Work Will Focus On:
- Researching the right Bayesian Optimisation techniques for a variety of experimentation challenges: multi-fidelity, multi-source, multi-step (generally known as ‘grey-box’ methods).
- Implementing these models for partners in the pharmaceuticals industry, focusing on ease of usability and interpretation.
- Validating the effectiveness of the models and tackling deeper research challenges, with the opportunity to publish.
You must have relevant experience in Machine Learning, specifically Bayesian Optimisation, at MSc/PhD level to complete the above work.
Location: Hybrid/Oxford/London (anywhere in the UK).
Matterhorn Studio is leading a paradigm shift towards peer-reviewed plug-in Bayesian Optimisation. We’re looking forward to see how we can shape the future of material science together with you.
Contact Jakob at jakob@matterhorn.studio with a CV and a few ideas of who you’d approach the above work.
Machine Learning Scientist (Open) employer: Matterhorn Studio
At Matterhorn Studio, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of machine learning. Our hybrid work model allows for flexibility while working alongside leading scientists in materials science, providing ample opportunities for professional growth and the chance to contribute to groundbreaking research that can be published. Join us in Oxford or London, where your expertise in Bayesian Optimisation will not only be valued but also play a crucial role in shaping the future of material science.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Scientist (Open)
✨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 Matterhorn Studio!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Scientist (Open) at Matterhorn Studio.
✨Leverage Professional Networks
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 Matterhorn Studio.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Scientist (Open) at Matterhorn Studio, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Machine Learning Scientist (Open)
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 Matterhorn Studio, 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 Matterhorn Studio. 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 Matterhorn Studio
✨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 Matterhorn Studio!
✨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.
