Mistral AI предлагает понятную исследовательскую стажировку в передовом AI с поддержкой опытных учёных и практической работой с LLM; главное ограничение - она доступна только студентам магистратуры или PhD, которым нужна выпускная стажировка.
Высокий порог входа
Актуальный AI-стек
Передовой AI
Поддержка учёных
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Scientist Intern (LLM/Fine-Tuning): Researching and developing state-of-the-art generative AI models with an accent on LLM fine-tuning, machine learning algorithms, and NLP. Focus on designing production-ready software, evaluating models across the MLOps stack, and exploring complex LLM and HPC workflows.
Location: Hybrid, based in an office in Paris, London, Zurich, or Warsaw
Company
Mistral AI develops open-source frontier models, developer tools, applications, and enterprise AI platforms for on-premises and cloud environments.
What you will do
Explore state-of-the-art algorithms for fine-tuning large language models under the supervision of experienced scientists.
Design and implement machine learning models and algorithms, contributing to the development and optimization of generative AI systems.
Research advancements in natural language processing and large language models.
Collaborate with cross-functional teams to integrate LLM technologies into applications.
Perform data analysis and visualization, document research findings, and contribute to technical reports and publications.
Participate in meetings and brainstorming sessions to share research insights.
Requirements
Currently pursuing a Master’s or PhD and seeking an end-of-studies internship.
Currently studying at a tier 1 engineering school or university.
Strong scientific understanding of generative AI and broad knowledge of artificial intelligence.
Knowledge of or interest in fine-tuning and applying language models.
Strong programming skills in Python and experience with libraries such as TensorFlow, PyTorch, or similar.
Familiarity with natural language processing techniques, machine learning algorithms, deep learning frameworks, Git, and the Linux shell environment.
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 model usage.
Previous experience with LLMs or related technologies.
Nice to have
Experience fine-tuning LLMs.
Experience using complex HPC infrastructure autonomously.
Culture & Benefits
Six-month internship with autonomous workstreams supervised by experienced scientists.
Collaborative, low-ego, team-oriented environment focused on AI innovation.
Benefits vary by country and may include healthcare, parental leave, retirement plans, relocation support, wellness programs, and meal and transportation allowances.
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