Overview We’re looking for a versatile Machine Learning 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
What We're Looking For
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 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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