Machine Learning Researcher - PhD: 2027

Location: New York, New York; onsite

Annual base pay: $300,000

Company

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

What you will do

• Research and develop deep learning models that generate and enhance systematic trading signals across asset classes.
• Collaborate with researchers, traders, developers, and engineering teams to improve alpha generation and identify algorithmic trading strategies.
• Design rigorous experiments using modern machine learning frameworks to improve predictive signals and trading performance.
• Apply scientific methods to extract actionable signals from complex datasets and analyze market behavior.
• Translate research insights into production-ready models for testing, validation, and live trading.
• Deploy, monitor, and iterate on models that support trading decisions and execution outcomes.

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++, plus practical experience with PyTorch or TensorFlow.
• Hands-on experience applying deep learning to time series data and a strong foundation in mathematics, statistics, and algorithm design.
• Demonstrated problem-solving, research, and collaboration skills. Visa sponsorship is available.

Culture & Benefits

• Work with researchers, engineers, and traders in a collaborative, intellectually rigorous environment.
• Access best-in-class financial data and high-performance computing resources.
• Directly influence real-time trading performance through research and model development.
• Work within a firm with a global footprint and focus on scientific rigor, curiosity, and innovation.