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Machine Learning Engineer
REMOTE · NEW YORK · US
$290K–$395K
Full-time
SENIOR
About the Role
Voleon applies state-of-the-art AI and machine learning to quantitative trading. As a Senior Machine Learning Engineer, you'll partner with PhD researchers to design, implement, and productize ML models, and build the data pipelines and infrastructure underpinning trading strategies. This role combines strong software engineering with mathematical rigor.
Responsibilities
- Partner with PhD researchers to design, implement, and productize ML models for quantitative trading.
- Develop and maintain complex data pipelines: ingestion, feature engineering, validation, quality monitoring.
- Translate research prototypes into performant, well-tested production code.
- Build tools and frameworks that accelerate model development and experimentation.
- Supervise and remediate subtle data quality issues across research and production.
- Lead projects from requirements to delivery and align with research and engineering stakeholders.
- Guide junior engineers and enforce engineering best practices.
Requirements
- Bachelor's degree (or higher) in CS, Applied Math, Statistics, or related quantitative field.
- 5+ years of professional software engineering experience with strong CS fundamentals.
- Mathematical maturity in statistics, linear algebra, optimization, and probability.
Voleon
Berkeley · US · 430+ employees
The Voleon Group is a quantitative investment management firm that utilizes artificial intelligence and machine learning in its trading strategies. It focuses on solving large-scale financial prediction problems through rigorous data-driven techniques and statistical analysis.
