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Mistral· Research· Paris

Open-Source Software, Machine Learning Engineer

Classified Tasks (15)

Automate 0%Augment 80%Human-Only 20%

Augment (12)

AI assists, human decides

Release state-of-the-art models to open-source platforms and libraries (e.g., vLLM, GitHub, Hugging Face)

operational

Maintain Mistral’s open-source libraries (mistral-common, mistral-finetune, mistral-inference)

technical

Improve Mistral’s publicly available libraries and open-source ecosystem

technical

Create internal-facing tooling and services for internal research workflows

technical

Maintain internal-facing tooling and services used by research teams

operational

Create external-facing tooling and services for open-source library users

technical

Maintain external-facing tooling and services for the open-source community

operational

Implement open-source and internal libraries to achieve production readiness

technical

Optimize open-source and internal libraries for performance and accuracy

technical

Ensure production readiness of releases, libraries, and tooling

operational

Apply cutting-edge technologies and innovative approaches in library and tooling development

creative

Convert research breakthroughs and prototypes into tangible, open-source solutions

technical

Human-Only (3)

Requires human judgment

Collaborate with the open-source community (e.g., PyTorch, vLLM, Hugging Face)

communication

Collaborate closely with engineering and marketing teams on OSS initiatives

communication

Shift between research-focused and production-focused tasks based on team needs

leadership

Job description

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers . Role Summary You will be in charge of open-sourcing state-of-the-art models, whilst maintaining and improving Mistral’s publicly available libraries. Your work is critical in helping turn research breakthroughs into tangible solutions and improve Mistral's open-source ecosystem. About the Open Source Software team Our OSS team is embedded in our Science team and works very closely with various engineering and marketing teams. All OSS team members can fluidly move on the production / research spectrum depending on where the needs are or where their interests lie What you will do • Releasing our models to open-source platforms and libraries, e.g., vLLM, GitHub, Hugging Face • Maintaining Mistral’s open-source libraries (mistral-common, mistral-finetune, mistral-inference) • Create and maintain tooling and services: both internal facing (internal research) and external facing (open-source libraries) • Implement and optimize open-source and internal libraries for performance and accuracy, ensuring production readiness and employing cutting-edge technology and innovative approaches • Collaborate with the open-source community (PyTorch, vLLM, Hugging Face) About you • Master’s degree in Computer Science, Machine Learning, Data Science, or a related field • Experience contributing to popular open-source libraries such as PyTorch, Tensorflow, JAX, vLLM, Transformers, Llama.cpp , ... • Passion for contributing to the open-source software ecosystem • Expert programming skills in Python, PyTorch, MLOps • Adaptable, proactive, and autonomous • Attention to detail and a drive to go the last mile to build almost perfect tools • Deep understanding of machine learning approaches, especially LLMs and algorithms • Low-ego, collaborative and have a real team player mindset Now, it would be ideal if you have: • Experience with training and fine-tuning large language models (e.g., distillation, supervised fine-tuning, policy optimization) • Experience working with Slurm • Worked with research teams before • Experience as a core-maintainer of a popular ML open-source library By applying, you agree to our Applicant Privacy Policy .
Source: Mistral careers · scraped 2026-05-22
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