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Mistral AI

Open-weight LLMs and enterprise AI deployment

AI Scientist Intern

AI ResearchUpdated on Nov 11
InternshipNo salary listed

About the Job

Requirements

  • Currently pursuing a Master's or PhD at a tier 1 engineering school or university.
  • Strong scientific understanding of generative AI and broad knowledge of AI, including specific knowledge or interest in fine-tuning and applying language models.
  • Strong programming skills in Python and experience with TensorFlow, PyTorch, or similar libraries.
  • Familiarity with natural language processing techniques and machine learning algorithms.
  • Ability to design complex software and make it usable in production.
  • Ability to navigate the full MLOps technical stack, with a focus on architecture development, model evaluation, and usage.
  • Previous experience with large language models or related technologies.
  • Knowledge of deep learning frameworks and techniques.
  • Experience with version control systems such as Git and a Linux shell environment.

Responsibilities

  • Work with the research team to develop state-of-the-art generative models.
  • Run autonomous work streams under the supervision of experienced scientists.
  • Explore state-of-the-art algorithms for training large language models, under the supervision of scientists.
  • Assist in designing and implementing machine learning models and algorithms.
  • Conduct research on advancements in natural language processing and large language models.
  • Contribute to the development and optimization of large language model systems.
  • Collaborate with cross-functional teams to integrate large language model technologies into applications.
  • Perform data analysis and visualization to support research and development.
  • Document research findings and contribute to technical reports and publications.
  • Participate in team meetings and brainstorming sessions.

Desired Qualifications

  • Experience fine-tuning or training large language models.
  • Experience using complex high-performance computing infrastructure autonomously.

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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