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Machine Learning Researcher

Goliath Partners
New York, NY, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$250,000.0 - $350,000.0
Working hours
Regular working hours
Job source
www.indeed.com

Tech stack

C++ (Programming Language) Python (Programming Language) 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

Apply for this position

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Good distractions

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