Machine Learning Systems Engineer: Data

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.

What You’ll Do

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

What we’re looking for

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

Why Join Us?

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.

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Machine Learning