At a Glance
- Tasks: Define and measure multilingual model behaviour, improving AI across languages.
- Company: Join Mistral AI, a pioneering company transforming the future of AI.
- Benefits: Competitive salary, health insurance, meal vouchers, gym discounts, and parental leave.
- Other info: Dynamic, collaborative environment with opportunities for innovation and growth.
- Why this job: Tackle cutting-edge research challenges and shape AI for diverse cultures.
- Qualifications: Expertise in linguistics, language, and evaluation of large language models.
The predicted salary is between 70000 - 90000 £ per year.
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 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.
About the role
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.
What you will do
- 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
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
What We Offer
- Competitive cash salary and equity
- Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company
- Sport: Enjoy discounted access to gyms and fitness studios through our EGYM Wellpass partnership
- Transportation: Monthly contribution to a mobility pass via Swile
- Health: Full health insurance for you and your family
- Parental: Generous parental leave policy
- Visa sponsorship
Model Behaviour Architect- Multilingual employer: BlackCube Labs
At Mistral AI, we pride ourselves on being a forward-thinking employer that champions innovation and collaboration in the field of artificial intelligence. Our dynamic work culture fosters creativity and teamwork, while our commitment to employee growth is evident through competitive salaries, comprehensive health benefits, and generous parental leave policies. Join us in our vibrant locations across the globe, where you can make a meaningful impact in shaping the future of AI alongside a diverse and passionate team.
StudySmarter Expert Advice🤫
We think this is how you could land Model Behaviour Architect- Multilingual
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We think you need these skills to ace Model Behaviour Architect- Multilingual
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at BlackCube Labs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at BlackCube Labs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at BlackCube Labs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
