AI Scientist Intern - (Internship, Masters or Phd)

Mistral•Palo Alto, CA

2d•Onsite

About The Position

Mistral AI is hiring an AI Scientist Intern to work with its fine-tuning team on developing state-of-the-art generative models. The intern will run autonomous work streams under the supervision of experienced scientists. The position is based in the Palo Alto or Montreal office and lasts six months. It is intended for candidates seeking an end-of-studies internship while pursuing a Master’s or PhD.

Requirements

Currently pursuing a Master’s or PhD at a tier 1 engineering school or university.
Strong scientific understanding of generative AI.
Broad knowledge of AI and specific knowledge of or interest in fine-tuning and applying language models.
Strong Python programming skills and experience with libraries such as TensorFlow, PyTorch, or similar.
Familiarity with natural language processing techniques and machine learning algorithms.
Ability to design complex software and make it usable in production.
Ability to navigate the full MLOps technical stack, with a focus on architecture development, model evaluation, and usage.
Previous experience with large language models or related technologies.
Knowledge of deep learning frameworks and techniques.
Experience with version control systems such as Git and a Linux shell environment.

Nice To Haves

Experience fine-tuning large language models.
Autonomous experience using complex HPC infrastructure.

Responsibilities

Explore state-of-the-art algorithms for fine-tuning large language models under the supervision of scientists.
Assist in designing and implementing machine learning models and algorithms.
Conduct research on advancements in natural language processing and large language models.
Contribute to the development and optimization of large language model systems.
Collaborate with cross-functional teams to integrate large language model technologies into applications.
Perform data analysis and visualization to support research and development.
Document research findings and contribute to technical reports and publications.
Participate in team meetings and brainstorming sessions.