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 andplex 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 optimizingpute 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 distributedputing infrastructure through profiling, benchmarking, and systems-level improvements
• Implement low-latency high-throughput sampling for models

What we're looking for

Why Join Us?

Susquehanna is a global quantitative trading firm thatbines 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 . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

Job ID 9416