Mistral AI
AI Frontier · Open-weight LLMs
- HQ
- Paris, FR
- Founded
- 2023
- Size
- 200+
- Website
- mistral.ai
- Blog
- mistral.ai
Products
Currently tracking 66 active AI roles, up 53% versus the prior 4 weeks. Primary focus: Agent · Engineering.
AI Frontier · Open-weight LLMs
| Title | Stage | AI score |
|---|---|---|
| Applied AI, Forward Deployed Machine Learning Engineer - Palo Alto Applied AI Engineer at Mistral AI focused on customer adoption of AI products and APIs. Responsibilities include onboarding, guidance on prompting, evaluation, fine-tuning, production integration, and deploying GenAI applications. Collaborates with researchers and engineers on complex customer projects, including fine-tuning and LLM applications. Involved in pre-sales to understand client needs and provide technical guidance. Contributes to open-source codebases for inference and fine-tuning. Works with state-of-the-art GenAI applications and deploys them into production with significant business impact. | AgentPost-train | 9 |
| Applied AI, Technical Lead - Forward Deployed AI Engineer Technical Lead, Applied AI role at Mistral AI focused on driving the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. This role involves leading project teams, acting as a primary technical point of contact, and bridging the gap between AI research and real-world applications. Responsibilities include hands-on coding, leading technical teams, pre-sales technical discussions, designing and implementing AI systems (fine-tuning, RAG, agentic workflows), and driving innovation. Requires a PhD/Master's, 7-8+ years of AI/ML experience with 2+ years in a technical leadership role, and expertise in fine-tuning LLMs, RAG, and agentic systems. |
| AgentPost-train |
| 9 |
| Applied AI, Forward Deployed Machine Learning Engineer - NYC/Palo Alto Applied AI Engineer role at Mistral AI focused on customer adoption of AI products, including onboarding, guidance on prompting, evaluation, fine-tuning, and production integration. The role involves working on GenAI applications, deploying use cases with business impact, and collaborating with researchers and product engineers on complex customer projects. It also includes pre-sales activities and providing feedback to product and science teams. | AgentPost-train | 9 |
| Research Engineer, Machine Learning Research Engineer focused on building and optimizing large-scale learning systems for open-weight models, working with Research Scientists to enhance training frameworks, data pipelines, and cluster tooling, or to integrate cutting-edge research into production-grade components. The role involves conducting experiments on deep learning techniques, designing and implementing ML algorithms, and delivering prototypes for products like Le Chat and enterprise APIs. | PretrainServe | 9 |