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Mistral AI

Open-weight LLMs and enterprise AI deployment

Applied Scientist Intern

Natural Language Processing & LLMsConfirmed live in the last 24 hours
InternshipNo salary listed

About the Job

Requirements

  • Fluency in English and the ability to explain complex technical concepts to technical and non-technical audiences.
  • 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 and navigate uncertainty.
  • Track record of success through personal projects, professional projects, or academia.
  • Must have work authorization to complete the internship in France or the UK for its full duration.

Responsibilities

  • Run pre-training and post-training, and deploy state-of-the-art models on clusters with thousands of graphics processing units.
  • Generate and curate data for pre-training and post-training, work on evaluations, and ensure model performance meets expectations.
  • Develop tools and frameworks for data generation, model training, evaluation, and deployment.
  • Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines.
  • Manage research projects and communications with client research teams.
  • Develop state-of-the-art models across text, image, and speech modalities; apply novel methods and research ideas to use cases and domains in collaboration with external and internal science, engineering, and product teams.

Desired Qualifications

  • Currently pursuing a PhD or Master's in a relevant field such as Mathematics, Physics, or Machine Learning; exceptional candidates from other backgrounds are welcome.
  • Availability for at least six months is preferred, with priority given to candidates about to complete their studies.
  • Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding or generation, or time-series analysis.
  • Contributions to a large open-source or industry codebase.
  • Publications in top academic journals or conferences.
  • Interest in improving existing code through 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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