LLM Fine-Tuning Research Intern

Mistral AI; Palo Alto (CA); On-site; USD 17,000 - 39,000; Full time

Benefits offered by this job

Healthcare coverage

Relocation support

Retirement plans

Wellness programs

Meal and transportation allowances

Job summary

Mistral AI is hiring for a 6-month internship in Palo Alto or Montreal to work with our fine-tuning team on state-of-the-art generative models. You will run autonomous work streams under senior scientists and contribute to various LLM applications.

Ideal candidates are pursuing a Master or PhD at a top engineering school, with strong Python and ML framework experience. The role is office-based with opportunities for collaboration across teams, and benefits vary by location.

Qualifications

• Currently pursuing a Master or PhD at a tier 1 engineering school.
• Strong background in generative AI and NLP.
• Experience with ML models, LLMs, and production-ready software.

Responsibilities

• Explore state-of-the-art LLM algorithms for fine tuning under supervision.
• Design and implement ML models and algorithms.
• Research latest NLP advancements and contribute to publications.
• Develop and optimize LLM systems and integrate into applications.
• Collaborate with cross-functional teams across projects.
• Analyze data and visualize findings to support R&D.
• Document results in technical reports.

Skills

Strong scientific understanding of AI

NLP knowledge

Academic research mindset

Education

Master's or PhD student at a top engineering school

Tools

Python

TensorFlow

PyTorch

Git

Linux shell

Job description

Mistral AI is hiring for a 6-month internship in Palo Alto or Montreal to work with our fine-tuning team on state-of-the-art generative models. You will run autonomous work streams under senior scientists and contribute to various LLM applications.

Ideal candidates are pursuing a Master or PhD at a top engineering school, with strong Python and ML framework experience. The role is office-based with opportunities for collaboration across teams, and benefits vary by location.