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- Tasks: Build cutting-edge AI systems and accelerate research with our science team.
- Company: Join Mistral AI, a passionate team dedicated to making AI accessible and open worldwide.
- Benefits: Work in a creative, low-ego environment with a global team across Paris, London, and the USA.
- Why this job: Be at the forefront of AI innovation while collaborating with talented individuals in a fun, competitive setting.
- Qualifications: Master’s or PhD in computer science; experience in deep learning and AI frameworks required.
- Other info: Flexible roles between production and research based on interests and needs.
The predicted salary is between 43200 - 72000 £ per year.
About Mistral
– At Mistral AI, we are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world. Our mission is to make AI ubiquitous and open.
– We are creative, low-ego, team-spirited, and have been passionate about AI for years.
– We hire people who thrive in competitive environments, because they find them more fun to work in.
– We hire passionate women and men from all over the world.
– Our teams are distributed between France, UK, and USA.
Role Summary
– As a Research Engineer here, you will be responsible for building our AI systems.
– Working hand in hand with our science team, you will help us accelerate research.
– Location: Paris/London.
Key Responsibilities
- Help accelerate researchers by taking on more complex parts of pipelines and building appropriate tools.
- Help interface our research with the products we build.
- Conduct research on the latest AI and machine learning technologies.
- Develop and implement AI models and algorithms, designing and executing the required experimental protocols.
- Write simple and efficient machine learning code.
- Develop prototypes and proof-of-concept models for AI applications.
About the Research Engineering team
– The team will be located in Paris; London.
– Our Research engineering team is embedded in our Science team.
– Our engineers can fluidly move on the production/research spectrum depending on where the needs are or where their interests lie.
Qualifications & profile
- Master’s in computer science (or equivalent) or ideally a PhD.
- Background in research and previous experience working in a lab.
- Experience with deep learning, natural language processing, LLMs.
- Hands-on experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, Jax).
- Experience working with large distributed systems.
- Self-starter and autonomous.
- Low-ego.
- Collaborative and have a real team player mindset.
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Research Engineer - Paris/London employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer - Paris/London
✨Tip Number 1
Familiarize yourself with the latest advancements in AI and machine learning technologies. This will not only help you understand the current landscape but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your collaborative spirit by highlighting any past projects where you worked closely with a team. Mistral values low-ego, team-oriented individuals, so demonstrating your ability to work well with others is key.
✨Tip Number 3
Prepare to discuss your hands-on experience with AI frameworks like TensorFlow or PyTorch. Be ready to share specific examples of how you've used these tools in your previous research or projects.
✨Tip Number 4
Since the role involves building prototypes and proof-of-concept models, think of innovative ideas or projects you've worked on that demonstrate your ability to develop and implement AI models effectively.
We think you need these skills to ace Research Engineer - Paris/London
Some tips for your application 🫡
Understand the Company Culture: Mistral AI values creativity, low-ego, and teamwork. Make sure to reflect these qualities in your application by showcasing your collaborative experiences and passion for AI.
Highlight Relevant Experience: Emphasize your background in research, particularly any hands-on experience with deep learning and AI frameworks like TensorFlow or PyTorch. Mention specific projects or roles that demonstrate your expertise.
Tailor Your CV: Customize your CV to align with the job description. Focus on your technical skills, research experience, and any relevant academic qualifications, such as a Master’s or PhD in computer science.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for Mistral AI's mission. Discuss how you can contribute to their goal of making AI ubiquitous and open.
How to prepare for a job interview at Mistral AI
✨Show Your Passion for AI
Make sure to express your enthusiasm for artificial intelligence and how it drives you. Share specific projects or experiences that highlight your passion and commitment to the field.
✨Demonstrate Team Spirit
Since Mistral values a collaborative environment, be prepared to discuss examples of how you've successfully worked in teams. Highlight your ability to support others and contribute to group success.
✨Highlight Relevant Experience
Discuss your background in research and any hands-on experience with AI frameworks like TensorFlow or PyTorch. Be ready to explain how your skills align with the responsibilities of the Research Engineer role.
✨Prepare for Technical Questions
Expect technical questions related to deep learning, natural language processing, and large distributed systems. Brush up on key concepts and be ready to solve problems or discuss algorithms during the interview.
