AI Scientist Intern - (Internship, Masters or Phd)

Mistral AI is hiring an AI Scientist Intern for a 6-month internship based in Paris, working with the fine-tuning team on state-of-the-art generative models. The intern will run autonomous work streams under the supervision of experienced scientists, and is open to end-of-studies candidates (Master or PhD) only.

Responsibilities

Explore state-of-the-art LLM algorithms for fine tuning LLMs, with the supervision of top level scientists; Assist in the design and implementation of machine learning models and algorithms; Conduct research on the latest advancements in natural language processing and LLMs; Contribute to the development and optimization of LLM systems; Collaborate with cross-functional teams to integrate LLM technologies into various applications; Perform data analysis and visualization to support research and development efforts; Document research findings and contribute to technical reports and publications; Participate in team meetings and brainstorming sessions to share ideas and insights; Work with the fine tuning team on state-of-the-art generative models; Run autonomous work streams under the supervision of experienced scientists

Requirements

Currently doing a Master or PhD at a tier 1 engineering school / university; High scientific understanding of the field of generative AI; Broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications; Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, or similar; Familiarity with natural language processing techniques and machine learning algorithms; Design complex software and make them usable in production; Navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage; Previous experience with LLMs or related technologies; Knowledge of deep learning frameworks and techniques; Experience with version control systems (e.g., Git) and linux shell environment

Nice to have

Have experience in fine tuning LLMs; Have used complex HPC infrastructure with full autonomy

Benefits

Healthcare coverage; Parental leave; Retirement plans; Relocation support; Wellness programs; Meal and transportation allowances; Other location-specific perks