Applied Scientist / Research Engineer - Multimodal
Mistral AI is seeking Applied Scientists and Research Engineers specializing in multimodal learning to relocate to Singapore. This role involves designing, training, and deploying state-of-the-art multimodal models for various enterprise use cases, from search to video understanding. The successful candidate will also be responsible for generating and curating datasets, developing tools for model management, and collaborating with cross-functional teams.
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.
Mistral AI is seeking world class Applied Scientists and Research Engineers who wish to relocate to Singapore. You will be focused on multimodal learning (text, image, audio, video) to drive innovative research and collaborate with clients on complex projects. You will design, train, and deploy SOTA multimodal models (e.g., Omni-models, VLMs, Audio, Image generation, Robotics and much more) and apply them to diverse use cases: enterprise search, agents grounded in images and documents, video understanding, and speech interfaces. You’ll work cross‑functionally with internal and external science, engineering, and product teams to deliver high‑impact AI solutions.
Posted June 10, 2026