Applied Scientist Internship

**Who You Are** * Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. * Expert with PyTorch or JAX. * Not afraid of contributing to a big codebase; finds their way around independently with little guidance. * Writes clean, readable, high-performance, fault-tolerant Python code. * Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. * Low-ego, collaborative and eager to learn. * Track record of success through personal projects, professional projects or academia. * Pursuing a PhD / Master's in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome. * Preferred duration: at least 6 months. Priority to candidates about to finalise their studies. * Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis. * Contributions to a large open-source or industry codebase. * Publications in top academic journals or conferences. * Enjoys improving existing code: typing, tests, CI pipelines. **What The Job Involves** * Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects. * You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. * Run pre-training, post-training, and deploy state-of-the-art models on clusters with thousands of GPUs. * Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations. * Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation, and deployment. * Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines. * Manage research projects and communications with client research teams. **Benefits** * Competitive bonus structure. * Equity. * Opportunities for professional growth and development.