Applied AI, Forward Deployed Machine Learning Engineer - Munich
<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>About The Job<br/><br/></strong>Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.<br/><br/>The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.<br/><br/>Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.<br/><br/><strong>What You Will Do<br/><br/></strong><ul><li> You’ll individually help deploy into production use cases with a considerable business impact across various industries</li><li> You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation</li><li> You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning</li><li> You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders</li><li> Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback<br/><br/><br/></li></ul><strong>How We Work In Applied AI<br/><br/></strong><ul><li> We care about people and outputs</li><li> What matters is what you ship, not the time you spend on it</li><li> Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week</li><li> Always ask why. The best solutions come from deep understanding, not from copying what worked before</li><li> We say what we mean. Feedback is direct, timely, and given because we care</li><li> No politics. Low ego, high standards</li><li> We embrace an unstructured environment and find joy in it<br/><br/><br/></li></ul><strong>About You<br/><br/></strong><ul><li> You are fluent in English</li><li> You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products</li><li> You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces</li><li> You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases</li><li> You have deep understanding of concepts and algorithms underlying machine learning and LLMs</li><li> You have strong technical coding skills in Python</li><li> You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences<br/><br/><br/></li></ul><strong>Ideally you have:<br/><br/></strong><ul><li> Contributed to open-source projects in particular in the space of LLMs</li><li> Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager</li><li> You have experience with deep learning with Pytorch<br/><br/><br/></li></ul><strong>Why join us?<br/><br/></strong>You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!<br/><br/>By applying, you agree to our Applicant Privacy Policy. </div>