Generative AI Research Intern – State-of-the-Art LLMs

Mistral AI; Zürich; On-site; CHF 20,000 - 27,000; Part time

Benefits offered by this job

Healthcare benefits

Relocation support

Professional growth opportunities

Job summary

Mistral is offering a 6‑month internship in Zurich to work with the research team on state‑of‑the‑art generative models. You will run autonomous work streams under the supervision of experienced scientists while contributing to design and implementation of ML models.

End‑of‑studies candidates (Master or PhD) are preferred. You will collaborate with cross‑functional teams, perform data analysis, and help integrate LLM technologies into various applications, with a focus on production‑readiness

Qualifications

• Master or PhD candidate in engineering with strong foundation in AI/ML.
• Strong programming skills in Python; experience with ML frameworks (TensorFlow, PyTorch).
• Familiarity with NLP techniques and language models.

Responsibilities

• Work with the research team on state-of-the-art generative models.
• Run autonomous work streams under supervision of scientists.
• Design and implement ML models and algorithms; document findings.
• Collaborate with cross-functional teams to integrate LLM technologies into applications.
• Perform data analysis and visualization to support research and development.
• Prepare technical reports and publications.

Skills

Python programming

TensorFlow

PyTorch

Linux shell

Git

Data analysis

Education

Master or PhD in engineering (tier 1 university)

Tools

TensorFlow

PyTorch

Git

Linux

HPC infrastructure

Job description

Mistral is offering a 6‑month internship in Zurich to work with the research team on state‑of‑the‑art generative models. You will run autonomous work streams under the supervision of experienced scientists while contributing to design and implementation of ML models.

End‑of‑studies candidates (Master or PhD) are preferred. You will collaborate with cross‑functional teams, perform data analysis, and help integrate LLM technologies into various applications, with a focus on production‑readiness