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# Machine Learning Researcher

- **Company:** Goliath Partners
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $250,000.0 - $350,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Reinforcement Learning, Deep Learning, Machine Learning Operations, Data Pipelines
- **Published:** July 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9a1c649b3ff80aec

## About the Role

* 2 to 5 years of experience applying machine learning in a quantitative research, trading, or comparable high-stakes production environment
 * Strong foundations in statistics, applied ML, and time-series/panel data methods; healthy skepticism about overfitting in noisy financial data
 * Proficiency in Python and/or C++; experience with large-scale data pipelines and model deployment infrastructure
 * PhD or 2 years of industry experience in ML, statistics, CS, or a related quantitative field a strong plus

## Description

* Design, train, and deploy ML models (deep learning, NLP, reinforcement learning, or large-scale ensemble methods) for alpha generation across equities, futures, and other liquid markets
 * Own the full pipeline from research and backtesting to live production deployment
 * Mine large, noisy, non-stationary financial datasets to engineer features and signals that hold up out-of-sample
 * Collaborate with quant researchers, engineers, and traders to integrate ML-driven signals into existing systematic strategies


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