Machine Learning Researcher (Deep Learning)

Location: Onsite in Sydney, Australia

Company

hirify.global is a global quantitative trading firm that applies machine learning and advanced quantitative research to financial markets.

What you will do

• Conduct research and develop machine learning models to enhance trading strategies, focusing on deep learning and scalable deployment.
• Collaborate with researchers, developers, engineers, and traders to improve existing models and explore algorithmic approaches.
• Design and run experiments using current machine learning tools and frameworks.
• Develop automation tools for research and system development.
• Apply scientific methods to extract signals from complex datasets and analyze market behavior.
• Partner with engineering teams to implement and test models in production environments.

Requirements

• PhD in computer science, machine learning, mathematics, physics, statistics, or a related field.
• 5+ years of experience building impactful deep learning systems in academic or industry settings.
• Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR.
• Strong programming skills in Python and/or C++.
• Practical experience with PyTorch or TensorFlow, especially in production environments.
• Hands-on experience with deep learning for time series, plus strong foundations in mathematics, statistics, and algorithm design.

Culture & Benefits

• Work with researchers, engineers, and traders in a collaborative and intellectually rigorous environment.
• Access to high-quality financial datasets and high-performance computing resources.
• Direct impact on real-time trading performance.
• Work within a global quantitative trading organization focused on scientific rigor and innovation.