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2 дня назад

Campus AI/ML Researcher

Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Singapore/China
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
Campus AI/ML Researcher (Machine Learning/Quantitative Trading): Implementing open-ended machine learning research projects from concept to production for quantitative research and monetization in global financial markets with an accent on model design, statistical analysis, and engineering pragmatism. Focus on developing predictive trading models, applying modern deep learning and language modeling architectures, and continuously improving research tools and infrastructure.

Location: Shanghai, Singapore, or Hong Kong

Company

hirify.global conducts quantitative research and develops technologies for global financial markets.

What you will do

  • Implement open-ended machine learning research projects from concept through production.
  • Develop and improve predictive models for quantitative research and trading monetization.
  • Design and refine models, research tools, and supporting infrastructure.
  • Apply statistical analysis, data mining, and modern deep learning techniques to complex problems.
  • Collaborate with traders, quantitative researchers, engineers, and trading researchers.

Requirements

  • Demonstrated ability to apply machine learning to achieve state-of-the-art results in challenging domains.
  • Strong publication record at leading machine learning conferences or contributions to open-source AI research.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Proficiency in Python and/or C++.
  • Strong general machine learning background, including modern deep learning techniques and/or language modeling architectures such as transformers or SSMs.
  • Ability to reason through quantitative problems, communicate effectively, and maintain reliable and predictable availability.

Nice to have

  • Prior knowledge of finance or trading is not required; training is provided.

Culture & Benefits

  • Collaborative environment centered on mutual respect and shared results.
  • Opportunities to work on research receiving daily feedback from competitive markets.
  • International students are encouraged to apply.
  • Interest in working in Asia after graduation is expected for full-time employment.

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