Machine Learning Researcher - PhD: 2027
$300,000–$300,000 year
On-siteNew York City, New York, United States or New York, United States
Job Summary
Research and develop deep learning models to generate systematic trading signals across asset classes. Collaborate with researchers, traders, and developers to improve alpha generation and identify new algorithmic strategies. Design rigorous experiments using modern frameworks to enhance predictive signals and translate insights into production-ready models for live trading environments. Partner with engineering teams to deploy, monitor, and iterate on models that drive execution outcomes. Apply scientific methods to extract actionable signals from complex datasets and leverage high-performance computing resources to uncover market insights.
Required Qualifications
- PhD in computer science, machine learning, mathematics, physics, statistics, or a related field
- Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
- A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
- Strong programming skills in Python and/or C++
- Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
- Hands-on experience applying deep learning on time series data
- Strong foundation in mathematics, statistics, and algorithm design
- Excellent problem-solving skills with a creative, research-driven mindset
- Demonstrated ability to work collaboratively in team-oriented environments
- A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment
- Visa sponsorship is available for this position
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