At a Glance
- Tasks: Drive innovative AI research and develop cutting-edge models across text, image, and speech.
- Company: Join Mistral AI, a leader in multimodal AI research with a collaborative spirit.
- Benefits: Gain hands-on experience, work with top-tier tech, and enhance your skills in a dynamic environment.
- Other info: Ideal for students pursuing advanced degrees; flexible duration of 3-6 months.
- Why this job: Make a real impact by solving complex problems and collaborating with talented teams.
- Qualifications: Fluency in English, expertise in PyTorch or JAX, and a passion for AI research.
The predicted salary is between 20000 - 30000 £ per year.
Requirements:
- You are fluent in English, and have excellent communication skills.
- You are at ease explaining complex technical concepts to both technical and non-technical audiences.
- You’re an expert with PyTorch or JAX.
- You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.
- You write clean, readable, high-performance, fault-tolerant Python code.
- You don’t need roadmaps: you just do. You don’t need a manager: you just ship.
- Low-ego, collaborative and eager to learn.
- You have a track record of success through personal projects, professional projects or in academia.
- (Desirable) You are pursuing a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.
- (Desirable) We’d love to have you for at least 3 months, ideally 6 months. We prioritise candidates who are about to finalise their studies.
- (Desirable) You can bring a variety of research experiences, such as working with agents, multi-modality, robotics, diffusion models, or time-series analysis.
- (Desirable) Have contributed to a large codebase used by many (open source or in the industry).
- (Desirable) Have a track record of publications in top academic journals or conferences.
- (Desirable) Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.
What the job involves:
- Mistral AI is seeking Applied Scientists Interns and Research Engineers Interns to drive innovative research and collaborate with clients on complex research projects.
- You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains.
- Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.
- Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.
- Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines.
- Manage research projects and communications with client research teams.
Applied Scientist Intern: Multimodal AI Research employer: Mistral AI
Mistral AI is an exceptional employer for aspiring Applied Scientists, offering a dynamic work culture that fosters collaboration and innovation. Located in a vibrant tech hub, we provide our interns with hands-on experience in cutting-edge AI research, access to state-of-the-art resources, and opportunities for professional growth through mentorship and impactful projects. Join us to be part of a team that values low-ego collaboration and encourages continuous learning while working on high-impact solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist Intern: Multimodal AI Research
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. Don’t be shy; ask them about their experiences and share your passion for AI research. You never know who might have a lead on an internship!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PyTorch or JAX. Make sure to highlight any contributions to large codebases or any cool personal projects that demonstrate your coding prowess.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. Practice explaining complex concepts in simple terms, as you’ll need to impress both technical and non-technical folks during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate candidates who are eager to learn and contribute. Your next big opportunity could be just a click away!
We think you need these skills to ace Applied Scientist Intern: Multimodal AI Research
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise with PyTorch or JAX in your application. We want to see how you’ve used these tools in your projects, so don’t hold back on sharing specific examples!
Keep It Clear and Concise:When explaining your experience, especially with complex technical concepts, keep it simple. We appreciate clarity, so write in a way that both techies and non-techies can understand what you’re all about.
Share Your Projects:We love seeing a track record of success! Include details about personal or professional projects that showcase your skills and contributions to large codebases. If you’ve got publications, flaunt them!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to get your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Mistral AI
✨Master the Technical Jargon
Make sure you’re comfortable discussing complex concepts in AI and machine learning. Brush up on your knowledge of PyTorch or JAX, and be ready to explain how you've used them in your projects. This will show that you can communicate effectively with both technical and non-technical audiences.
✨Showcase Your Projects
Prepare to discuss your personal or academic projects in detail. Highlight any contributions to large codebases and be specific about your role. If you have publications, don’t hesitate to mention them as they demonstrate your commitment and expertise in the field.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios or coding challenges during the interview. Show that you can think on your feet and handle issues like OOM errors calmly. This will illustrate your ability to work independently and manage research projects effectively.
✨Emphasise Collaboration and Learning
Mistral AI values low-ego, collaborative individuals. Share examples of how you’ve worked in teams and learned from others. Express your eagerness to grow and improve existing code, as this aligns with their culture of continuous improvement.
