Machine Learning Engineer Open-Source Software - Paris - London H/F Mistral AI

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.
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, , ...- 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 libraryLocation & Remote
This role is primarily based at one of our European offices (Paris and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. Our remote work policy is designed to offer flexibility, enhance work-life balance, and boost productivity.
In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting (currently France & UK). In that case, we ask all new hires to visit our local office:- for the first month of their onboarding (accommodation and travelling covered)- then at least 3 days per month
What we offer
Competitive salary and equity Health insurance Transportation allowance Sport allowance Meal vouchers Private pension plan Parental : Generous parental leave policy Visa sponsorshipWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.