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3 дня назад

Machine Learning Scientist (Intern) (AI)

Формат работы
hybrid
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
Taiwan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Machine Learning Scientist Intern (ML/LLM): Applying cutting-edge ML technologies to real-world marketing problems combining omnichannel customer data with an accent on user prediction, recommendation, agents, and chatbots. Focus on algorithm development, systematic quantitative evaluation, and continuous optimization of AI models.

Location: Hybrid (Must work from the Taipei, Taiwan office)

Company

hirify.global is an AI-native Agentic AI as a Service company providing AdTech and MarTech solutions to help businesses turn AI into ROI.

What you will do

  • Develop ML and LLM solutions focusing on user prediction, recommendation systems, agents, and chatbots.
  • Collaborate with senior ML scientists to define problems, develop algorithms, and conduct evaluations.
  • Perform model monitoring and continuous optimization to improve performance.
  • Research latest AI trends and proactively propose innovative applications for marketing problems.

Requirements

  • Bachelor's degree in Computer Science, ML, Mathematics, Electrical Engineering, or related fields (Master's preferred).
  • 2+ years of experience in ML or LLM.
  • Proficiency in Python.
  • Strong knowledge of core ML/Deep Learning (feature engineering, regression, clustering) or LLM techniques (RAG, agents).
  • Ability to perform systematic quantitative analysis and evaluate models.
  • Must be based in or able to work from the Taipei, Taiwan office.

Nice to have

  • Impact-driven mindset and strong analytical problem-solving skills.
  • Proficiency with LLM-powered productivity tools such as GitHub Copilot or ChatGPT.

Culture & Benefits

  • Opportunity to work in an AI-native Agentic AI as a Service (AaaS) environment.
  • Mentorship and collaboration with senior ML scientists on high-impact projects.
  • Flexible internship schedule of 2–4 days (16–32 hours) per week.
  • Experience within a global organization listed on the Tokyo Stock Exchange.

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