Virtu Financial
Machine Learning Researcher
New York
Sponsorship not specified$200k-$300kDetected 70 days ago
PythonC++Machine LearningDeep LearningTensorFlowPyTorchForecastingResearchProblem Solving
About the role
- Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques.
- Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating novel architectures in Python/PyTorch/TensorFlow to solve challenging market problems
- Apply logical and mathematical reasoning to translate cutting-edge research methods between application areas.
Responsibilities
- Implement sophisticated ML approaches for forecasting, feature engineering, and optimization challenges
- Partner with quantitative traders, researchers, and developers across teams to transform market insights into actionable data features and predictive models
- Strong production mindset with emphasis on delivering solutions that create bottom-line value and tangible business outcomes
Nice to have
- Advanced programming expertise in areas such as core PyTorch/JAX framework development.
- Exposure to C++ in production environments is a plus
Skills
- Proficient in rapid prototyping and iterative development using Python and contemporary deep learning frameworks
Compensation
- $200,000 - $300,000 (salary range is exclusive of bonuses, benefits or other categories of compensation)
Benefits
- Reinforcement learning experience is a bonus
- Results oriented mindset with a focus on developing deep learning models that directly impact P&L
- 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
Apply directly at Virtu Financial →Create a free account for alerts like thisView Virtu Financial immigration profile
This listing is sourced directly from Virtu Financial's careers page and normalized into a canonical job model.