Machine Learning Engineering Internship: Summer 2027
Susquehanna International Group2 months ago
USA (city not specified)Intern
H1B sponsor
Responsibilities
- Build and optimize distributed machine learning training pipelines across GPU infrastructure.
- Improve inference and deployment performance, including model latency, throughput, and cost in production trading systems.
- Develop data infrastructure for ingesting, storing, and transforming large market datasets.
- Profile and benchmark machine learning workloads.
- Contribute to internal libraries and open-source tools used by researchers.
Requirements
- Currently pursuing a Bachelor's, Master's, or PhD in computer science, machine learning, electrical engineering, mathematics, physics, statistics, or a related technical field.
- Intend to graduate and begin full-time employment by August 2028.
- Demonstrate strong programming skills in Python and working comfort with a systems language such as C++.
- Have hands-on experience with PyTorch or JAX beyond basic API usage, including training at scale, extending a library, or measurably improving an existing workflow.
- Have exposure to distributed training, GPU programming, orchestration, or large-scale data processing.
- Have experience with GPU kernel programming in CUDA, Triton, or CuTe DSL.
- Understand data structures, algorithms, concurrency, and how software behaves on real hardware.
- Be able to discuss a project, system, or open-source contribution in detail, including design decisions and individual contributions.
Benefits
- 10-week summer internship.
- One-on-one mentorship from experienced engineers and researchers.
- Comprehensive education program covering machine learning, quantitative methods, and trading practices.
- No prior finance background required.
Categories
About Susquehanna International Group
Susquehanna International Group (SIG) is a privately held quantitative trading firm and global market maker that uses proprietary technology and research to trade equities, options, ETFs, fixed income, and other derivatives. It earns revenue from proprietary trading and providing market liquidity, and also operates institutional sales & research and venture capital/private equity businesses. Founded in 1987 and headquartered in Bala Cynwyd, Pennsylvania, SIG has offices across North America, Europe, and Asia.