$200,000 - $300,000; not specified; not specified ...
On-site
Ml research platform development
Experiment tracking infrastructure
Distributed training infrastructure
This role involves building the infrastructure that powers quantitative researchers at the intersection of machine learning and systematic trading
Job Summary
This role involves building the infrastructure that powers quantitative researchers at the intersection of machine learning and systematic trading.
Responsibilities include designing and building experiment tracking, job orchestration, and reproducibility infrastructure to enable rapid researcher iteration.
The position requires diagnosing and resolving performance issues across training pipelines and building data pipelines for efficient financial data movement.
Matching Summary
This role involves building the infrastructure that powers quantitative researchers at the intersection of machine learning and systematic trading.
Salary
$200,000 - $300,000; Not specified; Not specified
Skills & Requirements
Must-have
ML research platform development
experiment tracking infrastructure
distributed training infrastructure
Python engineering skills
Linux systems stack experience
GPU cluster utilization monitoring
Nice-to-have
intellectual curiosity
self-driven problem solver
collaboration across disciplines
staying current with ML tooling
Key Requirements
5+ years of experience
strong Python engineering skills
experience building distributed training infrastructure