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Mistral AI

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Lead Applied Scientist

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About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

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 Korea, 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.

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

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What this application asks

ashby

Name, Email, Resume

  • Phone optional
  • Current Location
  • Current Title optional
  • Current Company optional
  • LinkedIn
  • GitHub optional
  • Google Scholar optional
  • Do you have experience in model pre-training? written answer · optional
  • Do you have experience in model post-training? written answer · optional
  • If yes to the above, describe the nature of your work, and the techniques used. written answer · optional
  • What is the largest scale (wrt. GPU nodes) that you have operated at? written answer · optional
  • Do you have an understanding of deployment: MLOps and Software Development, in an industry setting? written answer · optional
  • Are you comfortable working in customer-facing roles and presenting to senior stakeholders? written answer · optional
  • Do you have experience building transformer models from scratch? written answer · optional
  • Where do you see yourself in the next 2 years? written answer · optional
  • Are you proficient in Korean? optional
  • Are you proficient in English? optional

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