Machine Learning Systems Engineer: Data

Bala Cynwyd (Philadelphia Area), PA, United States

Susquehanna International Group

Discover Susquehanna, a global quantitative trading firm with a passion for game theory and probabilistic thinking.

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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.

 

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.

 

Susquehanna does not accept unsolicited resumes from recruiters or search firms. If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Data management Data pipelines Distributed Systems Engineering ETL Feature engineering Machine Learning ML infrastructure Pipelines Python Research

Region: North America
Country: United States

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