Machine Learning Researcher

Pursue high-impact machine learning research in a results-oriented environment, owning the modeling ecosystem from feature engineering through execution strategy and partnering with quantitative traders, researchers, and developers to build predictive models for financial markets.

Responsibilities

• Investigate, evaluate, and prototype innovative machine learning and deep learning solutions.
• Develop deep learning models that directly impact P&L.
• Implement ML approaches for forecasting, feature engineering, and optimization.
• Conduct empirical ML research and iterate novel architectures in Python, PyTorch, and TensorFlow.
• Translate research methods across application areas using logical and mathematical reasoning.
• Partner with quantitative traders, researchers, and developers to transform market insights into predictive models.

Requirements

• Minimum 2 years of applied experience developing deep learning solutions.
• Experience applying machine learning methodologies across problem domains.
• Strong production mindset focused on tangible business outcomes.
• Proficiency in Python and contemporary deep learning frameworks.
• Advanced programming expertise in core PyTorch or JAX framework development.
• Comfort working cross-functionally with researchers, developers, and traders.