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Machine Learning Systems Engineer
Job description
We’re looking for a versatile Machine Learning Systems Engineer to help build and optimize the core infrastructure that supports our AI research. This role involves working across the stack—from data processing and training efficiency to low-level GPU programming and performance tooling. You'll contribute to systems that are reliable, scalable, and tuned for high performance, while enabling researchers to better understand and improve their models. Ideal candidates are comfortable navigating complex systems, enjoy working across domains, and bring a strong engineering mindset paired with 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
- Apply the latest techniques to our internal training runs to achieve impressive hardware efficiency for our training runs
- Implement custom GPU kernels
- Create observability and benchmarking tools to help researchers understand the performance of their models/training runs
- Build and maintain secure sandboxed execution environments
What we're looking for
- Experience with data pipeline development and ETL processes
- Possess strong systems programming skills and understand performance optimization
- Strong software engineering skills in python
- Experience writing and optimizing custom GPU kernels
- Have contributed to observability, benchmarking, or performance-focused infrastructure at scale
- Familiarity of AI/ML workloads
- Comfortable working in ambiguous, fast-evolving environments and collaborating across disciplines
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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About the company
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Our Story
Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. Our rigorous and analytical approach to decision making has led Susquehanna to become one of the largest and most successful proprietary trading firms in the world. In our offices around the globe, our employees are relentless problem solvers who collaborate to make optimal decisions. Susquehanna’s deep integration of trading, technology and quant research makes us experts in trading essentially all listed financial products and asset classes, with a focus on derivatives. We handle millions of trading transactions around the world every day as both a market maker and market taker. Our efforts provide liquidity and ensure competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized to allow for a deep understanding of the unique drivers of each asset class.