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1 день назад

AI Scientist Intern (Internship, Masters or Phd)

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
France/UK/Poland +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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