Mistral AI에서 다국어 모델 행동 설계자를 채용합니다. LLM 평가 및 다국어 NLP 분야의 전문성을 바탕으로 모델의 언어적 정확성과 문화적 정렬을 책임집니다. 모델 평가 파이프라인 구축 경험이 필수이며, AI 과학자들과 협력하여 글로벌 수준의 모델 성능을 구현하는 핵심 역할을 수행하게 됩니다.
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 as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users.
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.
As a Model Behaviour Architect in the Multilingual team, you define and measure what good model behaviour looks like across languages, not just in English.
We are looking for people who have built a career in engineering, machine learning, and large language models and are experts in model evaluation, policy writing, and building eval pipelines for complex tasks. Your role is to work hand in hand with our Science team to define what “good” means for multilingual behaviour: language adherence, naturalness, cultural alignment, and consistent capability across the languages in which our models are deployed.
Join us if you are passionate about tackling cutting-edge, open-ended research challenges and transforming your insights into best-in-class models that work for users in every language and culture they belong to.
Interact with models across languages to identify where multilingual behaviour can be improved
Gather internal and external feedback to scope areas for improvement
Define what high-quality behavior means per language
Design and implement evals, data guidelines, data generation, and synthetic testing environments for multilingual settings
Shape how models reflect the cultural context of the users and regions they serve
Identify and fix edge-case behaviors through rigorous cross-language testing
Develop robust evaluation pipelines for model candidates
Work collaboratively with AI Scientists
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About you**
You are an expert at building robust evaluations
You have a strong understanding of at least one of: linguistics, language, and translation; LLM agents at work, including reasoning and tool use. Depth in linguistics or multilingual NLP is strongly preferred
You thrive in dynamic and technically complex environments
You have a track record of delivering innovative, out-of-the-box solutions to address real-world constraints
