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Mistral AI

Open-weight LLMs and enterprise AI deployment

Founding Team Lead Applied Science

AI ResearchConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • Fluency in English and Korean.
  • Experience leading a technical artificial intelligence, science, or engineering team while balancing individual-contributor work with team leadership and stakeholder management.
  • Expertise with PyTorch or JAX.
  • Ability to contribute independently to a large codebase with little guidance.
  • Ability to write clean, readable, high-performance, fault-tolerant Python code.
  • Ability to work independently through uncertainty with high autonomy.
  • Track record of success through personal projects, professional projects, or academia.

Responsibilities

  • Lead the technical execution of high-stakes frontier science projects.
  • Lead teams and strategic initiatives in the Applied Science team and define team culture.
  • Serve as the internal and external point of contact for technical Applied Science projects in the local region, including leading pre-sales and post-sales technical scoping, running events, engaging executive stakeholders, and ensuring projects align with the long-term vision of Applied Science.
  • Run pre-training and post-training and deploy state-of-the-art models on clusters with thousands of graphics processing units.
  • Work across complex real-world problems including robotics, engineering, finance, cybersecurity, and physics.
  • Generate and curate data for pre-training and post-training, work on evaluations, and ensure model performance exceeds customer expectations and frontier benchmarks.
  • Develop tools and frameworks to facilitate data generation, model training, evaluation, and deployment.

Desired Qualifications

  • Experience as a founder or builder.
  • Interest in building a dynamic, hard-working team culture.
  • A PhD or Master's degree in a relevant field such as Mathematics, Physics, or Machine Learning; exceptional candidates from other backgrounds are welcome.
  • Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding or generation, or time-series analysis.
  • Experience working on large codebases or large machine-learning models at scale.
  • Contributions to a large open-source or industry codebase.
  • Publications in top academic journals or conferences.
  • Enjoyment of improving existing code, including typing, tests, and continuous integration pipelines.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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