Senior Machine Learning Engineer
The Voleon Group5 months ago
Base Salary
$290k - $395k/yr
Responsibilities
- Partner with PhD researchers to design, implement, and productize machine learning models for quantitative trading strategies.
- Develop and maintain data pipelines covering ingestion, feature engineering, validation, and quality monitoring.
- Translate research prototypes into performant, well-tested, production-ready code.
- Build extensible tools and frameworks for model development and experimentation.
- Investigate and remediate subtle data-quality issues across research and production environments.
- Lead projects from requirements through delivery while making autonomous scope, dependency, and trade-off decisions.
- Coordinate deployments, guide junior engineers and researchers, and align stakeholders on ownership and prioritization.
- Promote engineering standards, consistency, and best practices within Research.
Requirements
- Bachelor's degree or higher in Computer Science, Applied Mathematics, Statistics, or a related quantitative field.
- At least 5 years of professional software engineering experience with strong data structures, algorithms, and systems design fundamentals.
- Mathematical maturity 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 such as NumPy, Pandas, SciPy, scikit-learn, PyTorch, or TensorFlow.
- Experience building or maintaining machine learning systems in a distributed computing environment.
- Proficiency developing in Linux with attention to performance, correctness, and reproducibility.
- Strong attention to detail with imperfect or heterogeneous data and strong written and verbal communication skills.
- Preferred qualifications include experiment management, model evaluation pipelines, ML workflow orchestration, model serving, feature stores, distributed training, performance optimization, financial data, time-series analysis, or quantitative research experience.
Benefits
- Competitive compensation and benefits packages.
- Technology talks by company experts.
- Beautiful modern office.
- Daily catered lunches.
Categories
Data EngineeringML Engineering
About The Voleon Group
The Voleon Group is a privately held quantitative hedge fund that applies statistical machine learning to public markets. Founded in 2007 and headquartered in Berkeley, California, it manages multi‑billion‑dollar investment funds for institutional investors and earns management and performance fees. Its researchers and engineers build scalable trading and research systems to forecast securities and execute strategies across global markets.