LLM Fine-Tuning Research Intern

Mistral AI; Zürich; Presencial; CHF 28.000 - 39.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare coverage

Relocation support

Meal and transportation allowances

Descripción de la vacante

Mistral AI in Zurich (offices in Paris, London and Warsaw) is hiring for a 6-month internship focused on pre-training and fine-tuning large language models. You will join the fine-tuning team and run autonomous work streams under the supervision of experienced scientists.

You should be currently pursuing a Master or PhD at a tier-1 engineering school, with strong Python skills and experience in NLP, ML, and LLM toolkits such as TensorFlow or PyTorch.

Formación

• Currently pursuing a Master or PhD at a tier 1 engineering school or university.
• Strong scientific understanding of generative AI and NLP.
• Experience with fine-tuning LLMs and production-ready software.

Responsabilidades

• Work with the fine tuning team on state-of-the-art generative models.
• Run autonomous work streams under supervision of senior scientists.
• Role based in Paris, London, Zurich or Warsaw offices.
• 6-month internship; candidates seeking end-of-studies internships (Master/PhD).
• Contribute to ML model design, implementation and evaluation.
• Collaborate with cross-functional teams to integrate LLM tech.
• Document research findings and share insights with the team.

Conocimientos

Python

TensorFlow

PyTorch

NLP

MLOps

Git

Linux

Educación

Master's or PhD in engineering/related field

Herramientas

TensorFlow

PyTorch

Descripción del empleo

Mistral AI in Zurich (offices in Paris, London and Warsaw) is hiring for a 6-month internship focused on pre-training and fine-tuning large language models. You will join the fine-tuning team and run autonomous work streams under the supervision of experienced scientists.

You should be currently pursuing a Master or PhD at a tier-1 engineering school, with strong Python skills and experience in NLP, ML, and LLM toolkits such as TensorFlow or PyTorch.