Machine Learning Systems Engineer: Data
Core
Build data infrastructure and high-performance systems to support ML research, handling large-scale datasets with a focus on scalability and reproducibility.
Role type
Machine Learning Systems Engineer (Data Infrastructure)
Builds
Reliable, high-performance data pipelines and distributed computing infrastructure for ML experimentation
Domain
Quantitative trading / Financial markets / Data Systems
Deliverable
infrastructure
Required skills
Data pipeline design, ETL systems, Distributed computing, Systems-level programming, Performance optimization, Python, ML workloads (preprocessing, feature engineering)
Responsibilities
Design and implement high-performance data pipelines for large-scale datasets, Optimize resource utilization across distributed computing infrastructure, Implement low-latency high-throughput sampling for models, Collaborate with researchers to translate requirements into scalable production-grade systems
Seniority
Mid-Senior, hands-on IC