OverviewWere 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. Youll 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 Youll DoDesign and implement high-performance data pipelines for processing large-scale datasets with an emphasis on reliability and reproducibilityCollaborate with researchers to translate their requirements into scalable, production-grade systems for AI experimentationOptimize resource utilization across our distributed computing infrastructure through profiling, benchmarking, and systems-level improvementsImplement low-latency high-throughput sampling for modelsWhat we''re looking forExperience building and maintaining data pipelines and ETL systems at scaleExperience with large-scale ML infrastructure and familiarity with training and inference workflowsStrong understanding of best practices in data management and processingKnowledge of systems level programming and performance optimizationProficiency in software engineering in pythonUnderstanding of AI/ML workloads, including data preprocessing, feature engineering, and model evaluationWhy 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, youll 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. #J-18808-Ljbffr
Job Title
Machine Learning Systems Engineer: Data