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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата не указанаСильная компанияСовременный стек технологийСотрудничество
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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