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2 дня назад

AI Researcher (AI)

Формат работы
remote (Global)/hybrid/onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US/Netherlands/Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

AI Researcher (AI): Contributing to research in LLMs, reinforcement learning, and agentic systems as part of an Early Career program with an accent on experimental design, data processing, and model evaluation. Focus on building and optimizing reinforcement learning environments and methods for training agents.

Location: Hybrid/Onsite in Amsterdam or Berlin, or Remote (Europe or United States).

Company

hirify.global is a cloud computing provider building infrastructure to empower the global AI economy.

What you will do

  • Assist in designing and conducting experiments for LLM training.
  • Analyze experimental results and document findings for the R&D team.
  • Develop and maintain code for data mining, processing, and model evaluation.
  • Collaborate on exploring new methodologies in reinforcement learning for agentic systems.
  • Engage in technical discussions to shape future research directions.

Requirements

  • Strong knowledge of computer science and machine learning fundamentals.
  • Proficiency in Python and familiarity with deep learning frameworks.
  • Ability to write clean, efficient code.
  • Strong problem-solving skills and a proactive approach to learning.
  • English language proficiency required.

Nice to have

  • Experience with NLP, reinforcement learning, or AI agents projects.
  • Understanding of current LLM concepts.
  • Enrollment in or completion of a degree in Computer Science, AI, or related field.
  • Active contributions to open-source projects.

Culture & Benefits

  • Mentorship from experienced professionals in AI, ML, and cloud infrastructure.
  • Hands-on experience with real-world customer workloads and production systems.
  • Competitive salary and comprehensive benefits package.
  • Supportive team environment with remote work flexibility.
  • Potential for a full-time role upon completion of the program.

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