Applied AI, Forward Deployed Machine Learning Engineer

About the Job

We are seeking an Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. As a member of our Applied AI team, you 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 our technological vision.

Responsibilities

• Deploy into production use cases with a considerable business impact across various industries.
• Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• Collaborate 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.
• Participate in pre-sales calls to understand potential clients' needs, challenges, and aspirations.
• Provide technical guidance on our products and explain Mistral technologies to various stakeholders.

How We Work in Applied AI

• We care about people and outputs.
• What matters is what you ship, not the time you spend on it.
• 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.
• Always ask why. The best solutions come from deep understanding, not from copying what worked before.
• We say what we mean. Feedback is direct, timely, and given because we care.
• No politics. Low ego, high standards.
• We embrace an unstructured environment and find joy in it.

About You

• You are fluent in English.
• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
• 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 have strong technical coding skills in Python.

Ideally You Have:

• Contributed to open-source projects in particular in the space of LLMs.
• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.
• You have experience with deep learning with PyTorch.