At a Glance
- Tasks: Design and optimise complex distributed systems for cutting-edge AI research.
- Company: Mistral AI, a leader in scalable AI tools based in London.
- Benefits: Competitive salary, meal vouchers, pension plan, and hybrid work options.
- Other info: Exciting opportunity for growth in a dynamic tech environment.
- Why this job: Join a pioneering team and contribute to frontier-scale AI model training.
- Qualifications: Master’s in Computer Science and 4+ years of experience in large-scale systems.
The predicted salary is between 60000 - 80000 £ per year.
Mistral AI is seeking a Research Engineer based in London to design and optimize complex distributed systems, enabling researchers to train frontier-scale AI models. The ideal candidate has a Master’s in Computer Science, 4+ years of experience building large-scale systems, fluency in Python, and knowledge of container orchestration tools like Kubernetes. The position allows hybrid work and offers a competitive salary with various benefits including meal vouchers and pension plan.
Research Software Engineer - Scalable AI Tools & Pipelines in London employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Software Engineer - Scalable AI Tools & Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering communities. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings at Mistral AI!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving scalable systems or AI tools. This is your chance to demonstrate your expertise in Python and container orchestration tools like Kubernetes.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and system design questions that relate to distributed systems. We want you to feel confident when discussing your experience and knowledge!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Tailor your CV and cover letter to highlight your relevant experience and passion for AI research. Let’s get you that interview at Mistral AI!
We think you need these skills to ace Research Software Engineer - Scalable AI Tools & Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large-scale systems and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about scalable AI tools and how your background makes you a perfect fit for our team at Mistral AI.
Showcase Your Technical Skills: Don’t forget to mention your experience with container orchestration tools like Kubernetes. We love seeing candidates who can demonstrate their technical prowess in their applications!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Mistral AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and any container orchestration tools like Kubernetes. Brush up on your knowledge of distributed systems and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced while building large-scale systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you optimised processes or solved complex problems.
✨Research Mistral AI
Familiarise yourself with Mistral AI’s work and their approach to scalable AI models. Understanding their projects and values will help you tailor your responses and show genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future goals of Mistral AI. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.