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For Companies At a Glance
- Tasks: Drive innovative AI research and develop state-of-the-art models across text, image, and speech.
- Company: Join Mistral AI, a pioneering company transforming society through cutting-edge AI technology.
- Benefits: Competitive salary, equity, health insurance, gym contributions, and generous parental leave.
- Why this job: Make a meaningful impact in AI while collaborating with a dynamic, low-ego team.
- Qualifications: Expertise in PyTorch or JAX, strong communication skills, and a track record of success.
- Other info: Work in a collaborative environment with excellent career growth opportunities across global offices.
The predicted salary is between 36000 - 60000 £ per year.
About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture onhttps://mistral.ai/careers.
About The Job
Mistral AI is seeking Applied Scientists and Research Engineers 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.
What you will do
- 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.
About you
- 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.
It would be great if you
- Hold 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.
- Can bring a variety of research experience (agents, multi-modality, robotics, diffusion, time-series).
- Have contributed to a large codebase used by many (open source or in the industry).
- Have a track record of publications in top academic journals or conferences.
- Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.
Benefits
We have local offices in Paris, London, Marseille, Singapore and Palo Alto.
France
💰 Competitive cash salary and equity
🥕 Food : Daily lunch vouchers
🥎 Sport : Monthly contribution to a Gympass subscription
🚴 Transportation : Monthly contribution to a mobility pass
🧑⚕️ Health : Full health insurance for you and your family
🍼 Parental : Generous parental leave policy
🌎 Visa sponsorship
UK
💰 Competitive cash salary and equity
🚑 Insurance
🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport
🥎Sport: 90GBP/month reimbursement for gym membership
🥕 Meal voucher: £200 monthly allowance for its meals
💰Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)
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Applied Scientist / Research Engineer - EMEA employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist / Research Engineer - EMEA
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those at Mistral AI. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got personal projects or contributions to open-source code, make sure to highlight them. We love seeing what you've done outside of work!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to explain complex concepts simply. Remember, we want to see how you communicate with both techies and non-techies!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our team at Mistral AI.
We think you need these skills to ace Applied Scientist / Research Engineer - EMEA
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Applied Scientist/Research Engineer role. Highlight your experience with PyTorch or JAX, and any relevant projects that showcase your skills in developing state-of-the-art models.
Showcase Your Communication Skills: Since you'll be explaining complex concepts to various audiences, it's crucial to demonstrate your communication prowess. Use clear language and examples in your application to show how you can bridge the gap between technical and non-technical folks.
Highlight Your Collaborative Spirit: We love a team player! Mention any past experiences where you've worked cross-functionally or collaborated on research projects. This will show us that you're not just about individual success but also about driving innovation together.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with Mistral AI. We can't wait to see what you bring to the table!
How to prepare for a job interview at Mistral AI
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI, especially around state-of-the-art models. Be ready to discuss your experience with PyTorch or JAX, and have examples of your work handy. This shows you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Collaboration Skills
Since Mistral values teamwork, prepare to share examples of how you've successfully collaborated with cross-functional teams. Highlight any projects where you tackled complex use cases, as this will demonstrate your ability to work well with others and contribute to innovative solutions.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You might be asked to present your ideas to both technical and non-technical audiences, so being able to communicate effectively is key. Think about how you can break down your past projects for clarity.
✨Be Ready to Problem-Solve
Expect to face some technical challenges during the interview. Prepare for questions that test your problem-solving skills, like handling OOM errors or optimising code. Show that you can think on your feet and tackle issues independently, which aligns with Mistral's low-ego, proactive culture.
