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Machine Learning Researcher (Deep Learning)

Тип работы
fulltime
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Machine Learning Researcher (Deep Learning): Building and training deep learning models for trading strategies using large-scale computing infrastructure, with an accent on nonstationary datasets, competitive multi-agent environments, and empirical machine learning. Focus on designing novel modeling techniques, optimizing distributed training, analyzing market data, and studying model behavior in production.

Location: Hong Kong

Company

hirify.global is a trading firm developing machine learning-driven trading strategies and systems.

What you will do

  • Build and train deep learning models that power trading strategies.
  • Develop machine learning techniques for large models, nonstationary datasets, and competitive multi-agent environments.
  • Work with researchers, engineers, and traders to architect systems and run trading strategies.
  • Analyze market data, tune hyperparameters, debug distributed training performance, and study model behavior in production.
  • Build fundamental understanding for applying machine learning to new markets and situations.
  • Hire colleagues, attend conferences, and teach machine learning techniques to teammates.

Requirements

  • Practical experience working on empirical machine learning problems.
  • Logical and mathematical problem-solving ability.
  • Intellectual curiosity and interest in state-of-the-art research across machine learning domains.
  • Fluency with a versatile range of models and techniques, including approaches from language models, image models, reinforcement learning, recommendation systems, or classical machine learning.
  • Hands-on coding skills in Python and a preferred machine learning framework.
  • Fluency in English required.

Culture & Benefits

  • Researchers, engineers, and traders work closely together.
  • Access to a rapidly growing computing cluster with tens of thousands of high-end GPUs.
  • Opportunities to attend conferences and teach techniques to colleagues.

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