ML Systems Engineer — Scalable AI Data Pipelines

Susquehanna International Group, LLP; Bala Cynwyd (PA); On-site; USD 140,000 - 210,000; Full time

Job summary

Susquehanna is seeking a Machine Learning Systems Engineer to build scalable data infrastructure powering AI research. You will design reliable, low-latency data services and collaborate with researchers to translate experiments into production workflows.

The role emphasizes performance optimization across distributed systems, reproducible pipelines, and close partnership with researchers to accelerate experimentation and deploy production-ready solutions.

Qualifications

• Experience building data pipelines and ETL at scale.
• Familiarity with ML training and inference workflows.
• Strong data management and processing practices.
• Systems-level programming and Python proficiency.

Responsibilities

• Design high-performance data pipelines for large datasets.
• Collaborate with researchers to translate needs into production systems.
• Optimize resources across distributed infrastructure through profiling.
• Implement low-latency data services for AI experimentation.

Skills

Data pipelines

ETL systems

Distributed computing

Python

Performance optimization

ML infrastructure

Data management

AI/ML workloads

Job description

Susquehanna is seeking a Machine Learning Systems Engineer to build scalable data infrastructure powering AI research. You will design reliable, low-latency data services and collaborate with researchers to translate experiments into production workflows.

The role emphasizes performance optimization across distributed systems, reproducible pipelines, and close partnership with researchers to accelerate experimentation and deploy production-ready solutions.