Quantitative Developer (ML Infrastructure)
Job Location:
New York City, NY - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
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.
Compensation
$600000 - $1M Total Compensation depending on level of experience.
Exposure to Profit and Loss Impact.
Extensive Benefits including Medical Dental and Vision Insurance.
Whats the Job
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.
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.
Location
This role requires you to work out of their New York City office five days a week. They do cover relocation expenses if you are looking to move.
Interview Process
To learn more apply here today or contact me directly at:
Required Experience:
IC
