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# Senior Machine Learning Engineer

- **Company:** The Voleon Group
- **Location:** United States
- **Experience:** Expert
- **Salary:** $15,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Profiling, Data Structures, Linux, Distributed Computing Environment, Python (Programming Language), Machine Learning, NumPy, Tensorflow, SciPy, Software Engineering, AI Infrastructure, Feature Engineering, Data Ingestion, Pytorch, Model Validation, Pandas, Scikit Learn, Information Technology, Production Code, Machine Learning Operations, Data Pipelines
- **Published:** August 2, 2026
- **Apply:** https://www.dice.com/job-detail/fecf0e57-c42f-4a2c-8a76-2a0fa585770b

## About the Role

* 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, * 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

"Friends of Voleon" Candidate Referral Program

## Description

* Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies
 * Develop and maintain complex data pipelines, including data ingestion, feature engineering, validation, and quality monitoring
 * Translate research prototypes and novel ideas into performant, well-tested, production-ready code
 * Build extensible tools and frameworks that accelerate the model development and experimentation lifecycle
 * Supervise, understand, and remediate subtle data quality issues across both research and production environments
 * Proactively lead projects from requirements through delivery, making autonomous decisions about scope, dependencies, and trade-offs, with an emphasis on long-term maintainability
 * Coordinate and contribute to deployment efforts while guiding junior engineers and researchers; align with research and engineering stakeholders on ownership, execution, and prioritization
 * Foster engineering consistency, standards, and best practices within Research


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