Mistral AI is seeking an Applied Scientist to drive innovative research and facilitate the adoption of its products among customers, collaborating with them to address complex technical challenges.
The Applied Scientist will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.
In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings.
Key responsibilities
Work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving co-training, fine-tuning, and various special projects. Evaluate and improve the performance of our models on a variety of use cases (e.g., reasoning, code, RAG, tool use, agents) and across modalities (text, image, speech). Develop complex use cases with our customers, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. Maintain a suite of technical packages, including scientific tooling design to help customers. You may be a good fit if
You are fluent in English. You hold a PhD / master in AI / data science. You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products. You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases. You have a deep understanding of concepts and algorithms underlying machine learning and LLMs. You're experienced with building and deploying LLMs or NLP applications. You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. You have strong technical coding skills in Python. You have experience with deep learning with Pytorch. You have experience with agents framework such as Langchain, vector DBs. You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences. Ideally you have
Contributed to open-source projects in particular in the space of LLMs. Hands-on experience with Generative AI (e.g., experience with transformer-based models) and a broad knowledge of the field of AI. Publication record in AI or a related field. Strong interest in pre-training fine-tuning and using language models for applications. Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager. Benefits
Competitive cash salary and equity. Food: Daily lunch vouchers. Sport: Monthly contribution to a Gympass subscription. Transportation: Monthly contribution to a mobility pass. Health: Full health insurance for you and your family. Parental: Generous parental leave policy. Visa sponsorship.
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Work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving co-training, fine-tuning, and various special projects. Evaluate and improve the performance of our models on a variety of use cases (e.g., reasoning, code, RAG, tool use, agents) and across modalities (text, image, speech). Develop complex use cases with our customers, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. Maintain a suite of technical packages, including scientific tooling design to help customers. You may be a good fit if
You are fluent in English. You hold a PhD / master in AI / data science. You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products. You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases. You have a deep understanding of concepts and algorithms underlying machine learning and LLMs. You're experienced with building and deploying LLMs or NLP applications. You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. You have strong technical coding skills in Python. You have experience with deep learning with Pytorch. You have experience with agents framework such as Langchain, vector DBs. You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences. Ideally you have
Contributed to open-source projects in particular in the space of LLMs. Hands-on experience with Generative AI (e.g., experience with transformer-based models) and a broad knowledge of the field of AI. Publication record in AI or a related field. Strong interest in pre-training fine-tuning and using language models for applications. Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager. Benefits
Competitive cash salary and equity. Food: Daily lunch vouchers. Sport: Monthly contribution to a Gympass subscription. Transportation: Monthly contribution to a mobility pass. Health: Full health insurance for you and your family. Parental: Generous parental leave policy. Visa sponsorship.
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