Machine Learning Researcher
Virtu FinancialAbout the Role
As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within a results-oriented, agile organization. You'll tackle complex problems without obvious solutions, taking ownership of the entire modeling ecosystem—from feature engineering and deep learning architecture design to training dynamics and execution strategy. Your innovations will directly influence how the firm operates in markets globally.
- Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques
- Develop deep learning models that directly impact P&L with a results-oriented mindset
- Implement sophisticated ML approaches for forecasting, feature engineering, and optimization challenges
- Conduct empirical ML research across multiple problem domains, rapidly prototyping novel architectures in Python/PyTorch/TensorFlow
- Partner with quantitative traders, researchers, and developers to transform market insights into actionable data features and predictive models
Requirements
- Minimum 2 years of applied experience developing deep learning solutions across diverse fields
- Proven capability in applying machine learning methodologies between different problem domains and application areas
- Strong production mindset with emphasis on delivering solutions that create bottom-line value and tangible business outcomes
- Proficient in rapid prototyping and iterative development using Python and contemporary deep learning frameworks
- Advanced programming expertise in areas such as core PyTorch/JAX framework development
- Exposure to C++ in production environments is a plus
- Comfortable partnering with other researchers, developers, and traders and working on cross-functional projects in a collaborative environment
- A sense of curiosity, strong technical skillset, and collaborative mentality
What You'll Get
- $200k–$300k base salary