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Mistral AI
Mistral AI

Senior/Staff Applied Scientist/Research Engineer

Seoul Research engineering Senior Posted 21d ago

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Role description

What the team is looking for.

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.

Responsibilities:

  • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
  • 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.

Requirements:

  • Fluent in English and Korea, with excellent communication skills.
  • Expert with PyTorch or JAX.
  • Able to contribute to a big codebase and work independently with little guidance.
  • Write clean, readable, high-performance, fault-tolerant Python code.
  • Track record of success through personal projects, professional projects or in academia.

Nice to have:

  • PhD/master in a relevant field (e.g., Mathematics, Physics, Machine Learning).
  • Variety of research experience (agents, multi-modality, robotics, diffusion, time-series).
  • Contributions to a large codebase used by many (open source or in the industry).
  • Publications in top academic journals or conferences.
Skills mentioned
  • PyTorch
  • JAX
  • Python
  • AI
  • Machine Learning
  • PhD/master in relevant field
  • research experience
  • large codebase contributions
  • academic publications