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22 часа назад

Machine Learning Internship - PhD: 2027

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US/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
Machine Learning Internship - PhD: 2027 (Machine Learning/Quantitative Finance): Conducting research and developing ML models for noisy, non-stationary financial data with an accent on predictive modeling, signal extraction, and algorithmic trading. Focus on designing experiments, developing research-driven models, and deploying risk-aware machine learning approaches for quantitative finance.

Location: U.S.-based 10-week internship with full-time placement in the Hong Kong office upon graduation

Company

hirify.global is a global quantitative trading firm using machine learning, advanced quantitative research, and large-scale datasets to develop systematic trading strategies.

What you will do

  • Conduct research and develop machine learning models for noisy, non-stationary data.
  • Apply machine learning and data science to quantitative trading and financial problems.
  • Collaborate with researchers, developers, and traders to improve models and explore algorithmic approaches.
  • Design and run experiments using modern machine learning tools and frameworks.
  • Extract signals from complex datasets and analyze market behavior using rigorous scientific methods.
  • Explore applications including alpha generation, signal processing, model deployment, and risk-aware decision-making.

Requirements

  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field.
  • Professional or academic experience applying machine learning techniques.
  • Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR.
  • Hands-on experience with PyTorch and TensorFlow.
  • Strong interest in solving complex problems and innovating in a fast-paced environment.

Culture & Benefits

  • One-on-one mentorship from experienced researchers and technologists.
  • Comprehensive education program covering machine learning, quantitative research, and trading.
  • Access to extensive financial data and computing resources.
  • Opportunity to contribute directly to trading performance.
  • Collaborative environment with researchers, engineers, and traders.
  • Visa sponsorship is available.

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