Quantitative Developer (ML Infrastructure)
Stabile Search•New York, NY
•Onsite
About The Position
My client is one of the largest and most prestigious Quantitative Finance firms in the world with a growing centralized AI team. They are looking for an experienced Machine Learning Research Engineer specialized in designing high-performance, foundational Alpha and AI infrastructure.
Requirements
- 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.
Responsibilities
- 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.
Benefits
- Medical, Dental and Vision Insurance
- Relocation expenses
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
