Machine Learning Systems Engineer: Data

Overview

We’re looking for a Machine Learning Systems Engineer to help build the data infrastructure that powers our AI research. In this role, you’ll develop reliable, high-performance systems for handling large and complex datasets, with a focus on scalability and reproducibility. You’ll partner with researchers to support experimental workflows and help translate evolving needs into efficient, production-ready solutions. The work involves optimizing compute performance across distributed systems and building low-latency, high-throughput data services.

This role is ideal for someone with strong engineering instincts, a deep understanding of data systems, and an interest in supporting innovative machine learning efforts.

• Design and implement high-performance data pipelines for processing large-scale datasets with an emphasis on reliability and reproducibility
• Collaborate with researchers to translate their requirements into scalable, production-grade systems for AI experimentation
• Optimize resource utilization across our distributed computing infrastructure through profiling, benchmarking, and systems-level improvements
• Implement low-latency high-throughput sampling for models

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

Susquehanna is a global quantitative trading firm that combines deep research, cutting‑edge technology, and a collaborative culture. We build most of our systems from the ground up, and innovation is at the core of everything we do. As a Machine Learning Systems Engineer, you’ll play a critical role in shaping the future of AI at Susquehanna – enabling research at scale, accelerating experimentation, and helping unlock new opportunities across the firm.