Mistral AI · 채용 중 177건
Open-Source Software, Machine Learning Engineer
Open-Source Software, Machine Learning Engineer
머신러닝 엔지니어정규직— · 경력 무관
Mistral AI의 Open-Source Software, Machine Learning Engineer는 최신 모델을 오픈소스화하고 관련 라이브러리를 유지보수하는 핵심 역할을 수행합니다. Python, PyTorch, MLOps에 대한 전문성을 갖추어야 하며, 오픈소스 생태계에 대한 깊은 이해와 기여 경험이 필수적입니다. 연구 성과를 실제 솔루션으로 전환하고 커뮤니티와 협업하는 역량이 중요합니다.
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.
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.
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
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)
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
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
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