Machine Learning Systems Engineer

Susquehanna International Group; Philadelphia (Philadelphia County); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading quantitative trading firm is seeking a Machine Learning Systems Engineer to enhance its AI research infrastructure. The role focuses on building reliable and efficient data pipelines, optimizing performance through GPU programming, and supporting innovative research initiatives. Ideal candidates will thrive in complex environments and collaborate across various technology domains.

Qualifications

• Strong software engineering skills with experience in Python.
• Experience with data pipeline development and ETL processes.
• Familiar with performance-focused infrastructure at scale.

Responsibilities

• Design high-performance data pipelines for large-scale datasets.
• Implement custom GPU kernels and performance optimization tools.
• Create observability tools for model and training performance.

Skills

Data pipeline development

Performance optimization

Software engineering in Python

Custom GPU kernel development

Observability and benchmarking

Familiarity with AI/ML workloads

Collaboration across disciplines

Education

Bachelor's degree in Engineering or related field

Job description

Join to apply for the Machine Learning Systems Engineer role at Susquehanna International Group

Join to apply for the Machine Learning Systems Engineer role at Susquehanna International Group

Overview

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.

Overview

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.

Susquehanna does not accept unsolicited resumes from recruiters or search firms. If you're a recruiting agency and want to partner with us, please reach out to [e-mail] . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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