About the job

Mistral AI is seeking Applied Scientists and Research Engineers specializing in time-series modeling to develop state-of-the-art forecasting, detection, and control systems across domains such as finance, energy, IoT, healthcare, and operations. The role involves designing foundation-style temporal models and hybrid architectures (LLM + Time Series) for deployment in latency-sensitive, reliability-critical environments. Candidates will handle pre-training, fine-tuning, and deploying large-scale models on GPU clusters while collaborating with client research teams to convert telemetry data into actionable insights. Applicants should have strong expertise in PyTorch or JAX, advanced Python coding skills, and proven experience in time-series modeling with transformer architectures. A PhD or Master’s degree in Mathematics, Physics, or Machine Learning is preferred. Mistral AI offers a dynamic, low-ego, and collaborative culture, competitive salary and equity, health insurance, gym and meal allowances, transportation benefits, pension plan, and visa sponsorship. The company’s teams across France, UK, USA, Germany, and Singapore are committed to innovation and building the future of AI through open-source excellence.