Machine Learning Researcher (Fintech)

Location: New York, United States

Salary: $200,000–$300,000 per year, excluding bonuses, benefits, and other compensation.

Company

hirify.global is a quantitative trading firm using advanced models and infrastructure to provide liquidity to global financial markets.

What you will do

• Investigate, evaluate, and prototype algorithmic solutions using machine learning and deep learning techniques.
• Develop deep learning models for forecasting, feature engineering, and optimization challenges that affect trading performance.
• Conduct empirical machine learning research and rapidly iterate on novel architectures using Python, PyTorch, and TensorFlow.
• Apply mathematical and logical reasoning to adapt research methods across application areas and financial market problems.
• Collaborate with quantitative traders, researchers, and developers to turn market insights into data features and predictive models.

Requirements

• At least 2 years of applied experience developing deep learning solutions across diverse fields.
• Proven ability to apply machine learning methodologies across different problem domains.
• Strong production mindset focused on measurable business outcomes and bottom-line value.
• Advanced programming expertise with Python and contemporary deep learning frameworks, including core PyTorch or JAX development.
• Ability to work collaboratively with researchers, developers, and traders on cross-functional projects.

Nice to have

• Experience with reinforcement learning.
• Production experience with C++.

Culture & Benefits

• Results-oriented and agile working environment.
• Opportunities to pursue intellectually challenging research with direct business impact.
• Collaborative work across quantitative trading, research, and development teams.
• Equal opportunity workplace committed to diversity and inclusion.