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Mistral AI

Open-weight LLMs and enterprise AI deployment

AI Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A strong publication record in a relevant scientific domain, such as machine learning or natural language processing.
  • High proficiency as a software engineer in at least one programming language, such as Python, Rust, Go, or Java.
  • Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes.
  • Experience with training large transformer models in a distributed manner.
  • Familiarity with the full machine learning operations stack, including fine-tuning, evaluation, and deployment.
  • Experience with audio or speech processing, including input/output and natural language processing.

Responsibilities

  • Research and develop innovative methods to advance the frontier of large language models.
  • Build tooling and infrastructure to enable large-scale training, evaluation, and analysis of AI models.
  • Collaborate with scientists, engineers, and product teams to deploy AI systems with tangible real-world impact.
  • Design and implement solutions that address complex challenges in AI model development and deployment.
  • Contribute to the open-source community by releasing cutting-edge models and tools.

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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