Applied AI Engineer, Applied Science - Singapore

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 https://mistral.ai/careers.
About The Job
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.
What you will do
• 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.
About you
• 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 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 with 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🚑 Health Insurance🥎 Sport : $90 for gym membership allowance🥕 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)🚴 Transportation : $120/month for public transport or Parking charges reimbursed