At a Glance
- Tasks: Drive AI research and tackle complex technical challenges with cutting-edge models.
- Company: Join a dynamic team at Mistral, passionate about transforming society through AI.
- Benefits: Comprehensive benefits package, including healthcare, wellness programs, and work-life balance support.
- Other info: Exciting opportunities for growth in a creative, low-ego environment.
- Why this job: Make a real impact in AI while collaborating with diverse teams across the globe.
- Qualifications: Fluent English, expertise in PyTorch or JAX, and a collaborative attitude.
The predicted salary is between 22500 - 27500 £ per year.
About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As an Applied Scientist / Research Engineer Intern on the Mistral AI team, you will help drive new research and work closely with clients on complex technical challenges. The team is responsible for developing advanced models spanning different modalities such as text, image, and speech. Your work will have direct impact as you collaborate cross-functionally with science, engineering, and product teams to deliver practical AI solutions. This role is based in our Paris or London offices.
What You Will Do
- Run pre-training, post-training, and deploy advanced models on GPU clusters
- Troubleshoot technical issues, including OOM errors and NCCL communication
- Generate and curate data for all stages of model development and evaluation
- Build tools and frameworks for data generation, model training, evaluation, and deployment
- Collaborate with internal and external teams to apply AI to diverse use cases, including agent and retrieval-augmented generation pipelines
- Manage communications and research project workflows with client teams
- Ensure models regularly meet or exceed performance expectations
What We're Looking For
- Fluent English and clear communication skills with technical and non-technical audiences
- Expertise in PyTorch or JAX
- Confidence working independently with large codebases
- Proficient in writing clean, efficient, and reliable Python code
- Initiative to take ownership and deliver without heavy guidance
- Collaborative attitude, low-ego, and willingness to keep learning
- Demonstrated success through academic, professional, or personal technical projects
- Experience or strong interest in areas like agents, multi-modality, robotics, diffusion models, or time-series analysis
What we offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
Applied Scientist / Research Engineer (Internship) employer: mistral
Mistral is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, equity options, comprehensive health insurance, and visa sponsorship, alongside ample opportunities for professional growth within the rapidly evolving field of AI. Joining Mistral means being part of a forward-thinking team dedicated to making a meaningful impact through strategic partnerships with leading publishers and academic institutions.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist / Research Engineer (Internship)
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Applied Scientist / Research Engineer (Internship)
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at mistral will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at mistral
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress mistral.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show mistral that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
