At a Glance
- Tasks: Drive the core discovery engine of an autonomous lab using cutting-edge ML architectures.
- Company: Well-funded AI materials discovery startup with top-tier VC backing.
- Benefits: Competitive salary and the chance to make a real-world impact.
- Other info: Join a dynamic team led by world-renowned experts in a collaborative environment.
- Why this job: Work at the forefront of AI and materials science, accelerating scientific discovery.
- Qualifications: PhD in relevant field and expertise in PyTorch or JAX.
The predicted salary is between 60000 - 80000 £ per year.
As a Machine Learning Research Scientist, you will drive the core discovery engine of an autonomous laboratory. You'll develop novel ML architectures, including GNNs and foundation models, to bridge the gap between simulation and real-world physical experiments. This role offers the unique opportunity to see your research directly accelerate scientific discovery and materials innovation.
Location: London, UK
Why this role is remarkable: You will work at the intersection of frontier AI and physical labs, creating a closed-loop system for autonomous scientific discovery. The company is backed by top-tier VCs and led by world‑renowned experts from elite industry labs and prestigious universities. Your work will have direct real‑world impact by solving fundamental bottlenecks in materials science for EVs, robotics, and clean energy.
What You Will Do:
- Formulate and prototype novel ML architectures like foundation models and GNNs tailored for complex material representations and physics simulations.
- Design active learning and optimization algorithms to autonomously decide which physical experiments the lab should run to maximize discovery.
- Tackle challenges in representation learning using sparse, high-dimensional data generated from real-world physical experiments to sharpen model predictions.
The Ideal Candidate:
- Holds a PhD in Computer Science, Machine Learning, Physics, or a related field with a strong record of publishing novel research.
- Possesses hands‑on expertise in PyTorch or JAX developing modern architectures such as generative models, Bayesian optimization, or foundation models.
- Demonstrates experience applying machine learning to scientific domains or simulations with a deep curiosity for accelerating discovery through autonomous systems.
Machine Learning Research Scientist at well-funded AI materials discovery startup employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.
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We think this is how you could land Machine Learning Research Scientist at well-funded AI materials discovery startup
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We think you need these skills to ace Machine Learning Research Scientist at well-funded AI materials discovery startup
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 Jack & Jill, 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 Jack & Jill. 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 Jack & Jill
✨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 Jack & Jill!
✨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.
