At a Glance
- Tasks: Build AI tools to protect democracies and enhance data processing.
- Company: Join a rapidly growing tech company focused on open societies.
- Benefits: Competitive salary, innovative projects, and a chance to make an impact.
- Other info: Skip the cold application process and get insider info through Dex.
- Why this job: Be at the forefront of AI technology and contribute to meaningful change.
- Qualifications: MSc or PhD in Computer Science with strong Python skills.
The predicted salary is between 59400 - 72600 £ per year.
This role is with one of Dex's trusted partner companies.
We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
If you're interested sign up to Dex to apply.
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Tell Dex your stack, seniority, and what you want to build.
We will manage your applications and surface other opportunities that are a fit.
The role
A company building AI to protect democracies.
They're focused on achieving technological leadership to ensure open societies can make sovereign decisions.
Rapidly growing across Europe, they're backed by leading investors and founded by engineers from top tech companies.
You'll join a cross-functional team at the convergence of machine learning and systems engineering.
This isn't a pure research role, nor is it just infrastructure.
You'll build the core tools and platforms that enable breakthroughs in high-volume data processing, RL agent training, and large-scale foundation models.
Your scope: abstracting complex distributed systems to maximise training throughput and developer velocity, ensuring GPUs stay warm and productive.
- The work
- Extend highly integrated deep learning frameworks (built on Py Torch) for efficiency and ease of use across diverse applications.
- Scale infrastructure and tooling to support faster, larger distributed training.
- Design data strategies for large-scale datasets, focusing on efficient storage and access.
- Debug complex production ML pipelines, identifying and resolving subtle numerical or performance issues.
- Rapidly integrate the latest AI optimisation techniques and research into core codebases.
What You Bring
- MSc or Ph D in Computer Science or a STEM field, with a deep focus on machine learning and deep learning.
- Strong Python engineering skills. You don't just use DL frameworks (Py Torch, JAX, Tensor Flow); you build custom layers, loss functions, and distributed training loops.
- A track record of debugging production ML pipelines, solving subtle numerical or performance issues.
- A first-principles mindset, eager to integrate cutting-edge AI optimisation research into practical code.
- Ideal candidates will also have hands-on experience with large-scale GPU cluster training (NCCL, MPI), multi-modal data strategies, workload orchestrators (Slurm, Kubernetes, Ray), or low-level GPU architecture.
- Why apply through Dex
This is a rare role at a company that doesn't advertise widely.
Applying through Dex means you skip the cold application process and get a full brief on the company and role before you even interview.
We help you cut through the noise and get noticed for opportunities like this.
If you're interested, sign up to Dex to apply - https://jobs. meetdex. ai/jobs/d0106735-166b-4929-a4fa-bd92902b3c1a
As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants.
This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.
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AI Research Engineer - ML Engineering employer: Dex
Join a pioneering early-stage venture-backed company at the forefront of building foundation models for extreme physics, where you will have the unique opportunity to shape the engineering culture from day one. With a strong focus on innovation and collaboration, this role offers competitive compensation, a dynamic work environment, and the chance to contribute to critical advancements in global infrastructure and energy. You'll be part of a small, research-heavy team that values your expertise and encourages personal growth, making it an excellent place for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer - ML Engineering
✨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 Dex!
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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 AI Research Engineer - ML Engineering at Dex.
✨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 Dex.
✨Apply Directly through Our Website
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We think you need these skills to ace AI Research Engineer - ML Engineering
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 Dex, 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 Dex. 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 Dex
✨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 Dex!
✨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.
