Machine Learning Researcher
Goliath Partners
New York, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
$ 350KJob location
New York, United States of America
Tech stack
C++
Python
Machine Learning
Natural Language Processing
Reinforcement Learning
Deep Learning
Machine Learning Operations
Data Pipelines
Job 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
Requirements
- 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
Benefits & conditions
- Base: $250K-$350K
- Total Comp: $500K-$1M
- Structure: Base + Sign-on Bonus + P&L attachment + performance bonus