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3 дня назад

Campus AI/ML Researcher (AI)

Формат работы
onsite
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
Singapore/China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Campus AI/ML Researcher (AI/Fintech): Implementing open-ended machine learning research projects from concept to production with an accent on model design, tools, and infrastructure development. Focus on applying deep learning architectures and statistical analysis to solve complex problems in global financial markets.

Location: Must be based in Shanghai, Singapore, or Hong Kong. Candidates must be interested in working in Asia for their full-time role after graduation.

Company

A leading quantitative trading firm that leverages advanced mathematical and scientific research to deploy technologies across global financial markets.

What you will do

  • Apply machine learning techniques to achieve state-of-the-art results in complex, high-stakes domains.
  • Manage end-to-end research projects from initial concept through to deployment in production environments.
  • Collaborate with traders and quantitative researchers to improve predictive modeling and data mining.
  • Develop and refine tools and infrastructure for the quantitative research and monetization process.
  • Communicate research insights effectively to cross-functional teams.

Requirements

  • Must be able to work on-site in Shanghai, Singapore, or Hong Kong.
  • Commitment to pursuing a full-time career in Asia post-graduation.
  • Strong publication record in top-tier conferences (ICML, ICLR, NeurIPS, etc.) or open-source AI research.
  • Proficiency in Python or C++ and familiarity with PyTorch, TensorFlow, or JAX.
  • Deep background in modern machine learning, specifically deep learning and language modeling architectures like transformers.

Culture & Benefits

  • Unique, meritocratic culture prioritizing intellectual honesty, creativity, and fearless innovation.
  • Collaborative environment that incentivizes teamwork and mutual respect among world-class researchers and engineers.
  • Direct exposure to competitive financial markets with rapid feedback loops.
  • Extensive training and mentorship provided—no prior finance or trading experience required.

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