The Voleon Group
Senior Machine Learning Engineer
$290K–$395K
Remote, United States +2 · Remote · Senior · Full-time · Posted May 13, 2026
- Location
- Remote, United States
New York City, NY
Berkeley, CA - Experience
- 5+ years of professional software engineering experience.
- Education
- Bachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field.
About the job
Partners with research teams to turn machine learning research into production systems and infrastructure for quantitative trading strategies.
What you'll do
- Design and productize machine learning models; build and maintain data pipelines and modeling tools.
- Translate research prototypes into performant, tested production code and address data quality issues.
- Lead projects through delivery, coordinate deployments, and guide junior engineers and researchers.
What they ask for
- Bachelor's degree or higher in Computer Science, Applied Mathematics, Statistics, or a related quantitative field.
- 5+ years of professional software engineering experience and strong computer science fundamentals.
- Deep proficiency in Python; mathematical maturity in statistics, linear algebra, optimization, and probability.
- Experience building or maintaining machine learning systems in distributed computing environments; proficiency in Linux.
Nice to have
- Experience with experiment management, model evaluation pipelines, or ML workflow orchestration.
- Familiarity with ML/AI infrastructure patterns, performance optimization, or financial data and quantitative research.
Pay
$290K – $395K USD base salary; Offers Bonus (amount not stated)
Tools
Python, R, C/C++, NumPy, Pandas, SciPy, scikit-learn, PyTorch
AI focus
Applies machine learning to quantitative trading strategies, including model design, evaluation, and productionization.
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