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Mistral AI

Open-weight LLMs and enterprise AI deployment

Applied Science - Research Engineer, Robotics

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • Fluency in English.
  • Expertise with PyTorch or JAX.
  • Experience with Vision Language Models, Vision-Language-Action models, perception, navigation, manipulation, and simulation tools such as Isaac SIM.
  • Ability to write clean, readable, high-performance Python code.
  • A track record of success through personal projects, professional projects, or academia.

Responsibilities

  • Run pre-training and post-training, and deploy state-of-the-art models on large clusters.
  • Generate and curate image-text and video-text datasets, and build evaluators and benchmarks for perception, navigation, and manipulation tasks.
  • Develop tools and frameworks to facilitate data generation, model training, evaluation, and deployment.
  • Collaborate with cross-functional teams to address complex use cases.
  • Manage research projects and communications with client research teams.

Desired Qualifications

  • Research experience in robotics navigation, perception, or manipulation.
  • 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.
  • A PhD or Master's degree in a relevant field such as Robotics or Machine Learning.

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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