Deep Learning Researcher (HFT)

TL;DR

Deep Learning Researcher (HFT/Quant): Applying frontier deep-learning research to financial time series forecasting with an accent on end-to-end model development. Focus on building a greenfield AI Labs, optimizing high-frequency trading strategies, and contributing to top-tier academic publications.

Location: New York or Shanghai

Salary: 7-figure package

Company

hirify.global is recruiting for a top-tier High-Frequency Trading (HFT) firm establishing a greenfield AI Labs.

What you will do

• Apply frontier deep-learning research to financial time series forecasting end-to-end.
• Develop and scale research initiatives within a newly established AI Labs.
• Collaborate with a small, elite team of ML researchers.
• Exert significant influence over the technical and business growth of the team.

Requirements

• 2+ years of experience in high-to-mid frequency research, preferably on the buy-side.
• 2+ years of machine learning or deep learning research/engineering in finance or tech.
• Proven track record of multiple publications in top-tier journals and conferences (e.g., IEEE, NeurIPS).
• High academic impact, ideally with over 1,000 citations.
• Excellent communication skills.

Culture & Benefits

• Opportunity to work on greenfield research at a significant scale.
• Pure ML research environment without internal politics or infrastructure drag.
• Highly competitive compensation (7-figure package).
• Small team of exceptionally strong ML researchers.