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 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