Quantitative Developer (ML Infrastructure)
$600,000–$1,000,000 year
On-site · New York City, New York, United States
Job Summary
Architect and build large-scale data pipelines that power ML training and rapid experimentation. Develop and optimize distributed training infrastructure for advanced models. Conduct original, cutting-edge machine learning research on open-ended quantitative problems. Own ML workflows end to end — from problem framing and data engineering through modeling, evaluation, and deployment. Partner closely with quantitative researchers and traders to translate research insights into production systems.
Required Qualifications
- Strong programming ability in Python, C++, and/or Rust
- Proven experience building scalable data and modeling pipelines in a research-driven environment
- The versatility to move fluidly between research questions and engineering execution
- A pragmatic, ownership-oriented mindset and you ship high-quality work and iterate quickly
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