Machine Learning Systems Engineer: Data

Location: Bala Cynwyd (Philadelphia Area), Pennsylvania, United States; onsite

Company

hirify.global is a quantitative trading firm using research, technology, machine learning, and advanced quantitative methods to develop systematic trading strategies.

What you will do

• Design and implement high-performance data pipelines for large-scale datasets.
• Build reliable and reproducible data infrastructure for AI experimentation.
• Collaborate with researchers to turn evolving requirements into scalable, production-grade systems.
• Optimize resource utilization across distributed computing infrastructure through profiling, benchmarking, and systems-level improvements.
• Implement low-latency, high-throughput sampling for machine learning models.

Requirements

• Experience building and maintaining data pipelines and ETL systems at scale.
• Experience with large-scale machine learning infrastructure and training and inference workflows.
• Strong understanding of data management and processing practices.
• Knowledge of systems-level programming and performance optimization.
• Proficiency in Python software engineering.
• Understanding of AI/ML workloads, including data preprocessing, feature engineering, and model evaluation.

Culture & Benefits

• Collaborative environment combining researchers, engineers, and traders.
• Opportunity to build systems from the ground up for AI research and systematic trading.
• Work focused on scientific rigor, innovation, and solving complex problems with large datasets.