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.
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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