At a Glance
- Tasks: Design and optimise complex distributed systems for cutting-edge AI models.
- Company: Mistral AI, a leader in scalable AI technology based in London.
- Benefits: Competitive salary, meal vouchers, pension plan, and hybrid work options.
- Other info: Exciting opportunity to work on frontier-scale AI projects.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Master’s in Computer Science, 4+ years experience, fluent in Python.
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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Mistral AI employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving scalable systems or AI tools. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and container orchestration knowledge. Practice coding challenges and system design questions to feel confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Research Software Engineer - Scalable AI Tools & Pipelines
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! Tell us why you’re passionate about AI and how your background makes you a perfect fit for the Research Software Engineer role. Keep it engaging and personal.
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’re considered for the position. Plus, it’s super easy!
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 tackle hypothetical scenarios or technical challenges during the interview. Think about how you would approach optimising a large-scale system and be ready to explain your thought process clearly.
✨Research Mistral AI
Familiarise yourself with Mistral AI’s work and their focus on frontier-scale AI models. Understanding their mission and recent projects will help you tailor your answers and show genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and the challenges they face. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.