Senior Machine Learning Engineer

Role Description

As a Senior Machine Learning Engineer on one of Voleon's Research teams, you will partner directly with research staff to advance our quantitative trading strategies. You will:

• Translate novel research ideas into production-quality code.
• Build and maintain the data pipelines and modeling infrastructure that underpin our strategies.
• Apply your own strong mathematical intuition to solve open-ended technical challenges.

This role lives at the boundary of research and engineering. You will be expected to:

• Understand the statistical and mathematical concepts your research partners work with.
• Contribute meaningfully to technical discussions about model design and evaluation.
• Ensure that the resulting systems are performant, reliable, and maintainable.

You will work at the intersection of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard.

Qualifications

• Bachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field.
• 5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design).
• Demonstrated mathematical maturity — comfort with the concepts and notation used in statistics, linear algebra, optimization, and probability.
• Deep proficiency in Python; experience with R and/or C/C++ is a strong plus.
• Extensive experience with numerical and data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar).
• Proven experience building or maintaining machine learning systems in a distributed computing environment.
• Proficiency developing in a Linux environment with attention to performance, correctness, and reproducibility.
• Exceptional attention to detail, particularly when working with imperfect or heterogeneous data.
• Strong verbal and written communication skills, and the ability to collaborate effectively with researchers whose primary expertise is not software engineering.

Requirements

• Experience with experiment management, model evaluation pipelines, or ML workflow orchestration.
• Familiarity with modern ML/AI infrastructure patterns (model serving, feature stores, distributed training).
• Experience with performance profiling and optimization of numerical or modeling code.
• Prior exposure to financial data, time-series analysis, or quantitative research environments.

Benefits

• Highly competitive compensation and benefits packages.
• Technology talks by our experts.
• A beautiful modern office.
• Catered lunches.

Company Description

Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.