Open-source Software, Machine Learning Engineer

Mistral AI Mistral AI · AI Frontier · Paris, France · Research

Machine Learning Engineer focused on open-sourcing state-of-the-art models and maintaining Mistral's public libraries, including tooling and services for both internal research and external open-source contributions. The role involves implementing and optimizing libraries for performance and accuracy, ensuring production readiness, and collaborating with the open-source community.

What you'd actually do

  1. Releasing our models to open-source platforms and libraries, e.g., vLLM, GitHub, Hugging Face
  2. Maintaining Mistral’s open-source libraries (mistral-common, mistral-finetune, mistral-inference)
  3. Create and maintain tooling and services: both internal facing (internal research) and external facing (open-source libraries)
  4. Implement and optimize open-source and internal libraries for performance and accuracy, ensuring production readiness and employing cutting-edge technology and innovative approaches
  5. Collaborate with the open-source community (PyTorch, vLLM, Hugging Face)

Skills

Required

  • Python
  • PyTorch
  • MLOps
  • Machine Learning approaches
  • LLMs
  • algorithms

Nice to have

  • training large language models
  • fine-tuning large language models
  • distillation
  • supervised fine-tuning
  • policy optimization
  • Slurm
  • research teams
  • core-maintainer of a popular ML open-source library

What the JD emphasized

  • open-source libraries
  • performance and accuracy
  • production readiness
  • cutting-edge technology
  • innovative approaches
  • open-source community

Other signals

  • open-source
  • model release
  • library maintenance
  • performance optimization
  • community collaboration