AI Scientist Intern – Internship, Masters or PhD

Mistral AI

. Work with the fine-tuning team to develop state-of-the-art generative models .

Posted 11/6/2026internshipPalo Alto • California • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and optimizing generative models, particularly in fine-tuning language models. Proficient in Python programming and familiar with MLOps practices, including architecture development and model evaluation.

Highest-signal resume keywords

Python ProgrammingFine-Tuning LLMsTensorFlowPyTorchNatural Language Processing

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Generative AIMachine Learning AlgorithmsData AnalysisModel EvaluationDeep Learning TechniquesVersion Control (Git)Linux Shell EnvironmentComplex Software DesignHPC Infrastructure

Soft Skills

CollaborationAutonomous WorkResearch Documentation

Industry Keywords

LLM TechnologiesMLOpsCross-Functional TeamsTechnical ReportsResearch and Development

Tech Stack

Tools & technologies

LinuxPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Work with the fine-tuning team to develop state-of-the-art generative models
Run autonomous work streams under the supervision of experienced scientists
Explore state-of-the-art LLM algorithms for fine-tuning LLMs
Assist in designing and implementing machine learning models and algorithms
Conduct research on advances in natural language processing and LLMs
Contribute to developing and optimizing LLM systems
Collaborate with cross-functional teams to integrate LLM technologies into applications
Perform data analysis and visualization for research and development
Document research findings and contribute to technical reports and publications
Participate in team meetings and brainstorming sessions

Requirements

What you’ll need

Currently doing a Master or PhD at a tier 1 engineering school / university
High scientific understanding of generative AI
Broad knowledge of AI, with specific knowledge or interest in fine-tuning and using language models for applications
Strong programming skills in Python
Experience with TensorFlow, PyTorch, or similar libraries
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 and model evaluation and usage
Previous experience with LLMs or related technologies
Knowledge of deep learning frameworks and techniques
Experience with version control systems such as Git
Experience with Linux shell environment
End-of-studies internship candidate
Ideal: experience fine-tuning LLMs
Ideal: autonomous use of complex HPC infrastructure

Benefits

Comp & perks

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