Virtu Financial
Machine Learning Researcher
$200K–$300K
New York · Full-time · Posted Mar 24, 2026
- Experience
- Minimum 2 years of applied experience developing deep-learning solutions across diverse fields.
About the job
Researches and develops machine-learning models and algorithmic solutions for forecasting, optimization, and financial-market problems, with a focus on measurable business impact.
What you'll do
- Investigate, evaluate, and prototype machine-learning and deep-learning techniques, including novel architectures.
- Develop models and features for forecasting, optimization, and market problems using empirical research and iterative development.
- Collaborate with traders, researchers, and developers to turn market insights into predictive models and actionable data features.
What they ask for
- At least 2 years of applied experience developing deep-learning solutions across diverse fields.
- Proven ability to apply machine-learning methods across different problem domains.
- Proficiency in rapid prototyping and iterative development using Python and contemporary deep-learning frameworks.
- Advanced programming expertise, including core PyTorch/JAX framework development.
Nice to have
- Reinforcement-learning experience.
- Exposure to C++ in production environments.
Pay
$200,000 - $300,000 (USD, base salary; exclusive of bonuses, benefits or other categories of compensation)
Tools
Python, PyTorch, TensorFlow, JAX, C++
AI focus
Develops and applies machine-learning and deep-learning models, including research into novel architectures and algorithmic solutions for financial markets.
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