---
title: Machine Learning Engineering Internship
description: Susquehanna International Group is hiring for the Machine Learning Engineering
  Internship role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/machine-learning-engineering-internship-at-susquehanna-international-01a0d6b8-f57f-75eb-a5ef-c7d9e7c1c975
date: 2026-09-29T05:08:46Z
og_description: Join Susquehanna International Group as Machine Learning Engineering Internship
  in Bala Cynwyd, PA. Full-time role.
og_image: https://www.foundrole.com/og/jnq8ul.png
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  - label: Home
    url: https://www.foundrole.com/
  - label: Search
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---

| | |
|---|---|
| **Company** | [Susquehanna International Group](https://www.foundrole.com/companies/susquehanna-international-group?utm_source=ai_markdown) |
| **Location** | Bala Cynwyd, PA |
| **Type** | Full Time, Intern |
| **Posted** | Sep 24, 2026 |
## Description

**Overview**  

Our Machine Learning Engineering Internship is a 10-week immersive experience designed for students who are passionate about building the systems at the intersection of machine learning, large-scale data, and markets. 

As a Machine Learning Engineering Intern, you'll work on high-impact projects that closely reflect the challenges and workflows of our full-time engineering team. You'll apply your software engineering skills to real machine learning systems while developing a deep understanding of how machine learning integrates into Susquehanna's research and trading systems. A model is useful only if it can be trained quickly, fed reliably, and run fast enough to act on - our engineers own the systems that make that true, and we scope intern projects the same way. 

Susquehanna's proprietary datasets and computing infrastructure - including a rapidly growing cluster of thousands of high-end GPUs - support computationally intensive training, simulation, and rapid experimentation. Engineering teams here are small and highly collaborative, ideas are debated openly, and work that proves out reaches production quickly. 

**What You Can Expect** 

- Build and optimize training pipelines that run across our GPU infrastructure, including distributed training for large models 
- Work on inference and deployment — the latency, throughput, and cost of models running in production trading systems 
- Develop the data infrastructure behind our research, moving large and noisy market datasets through ingestion, storage, and transformation 
- Profile and benchmark machine learning workloads, and contribute to the internal libraries and open-source tools our researchers rely on every day 
- One-on-one mentorship from experienced engineers and researchers 
- Participate in a comprehensive education program with deep dives into Susquehanna's ML, quant, and trading practices 
- No prior finance background required 

**What we're looking for**  

- Currently pursuing a Bachelor's, Master's, or PhD in computer science, machine learning, electrical engineering, mathematics, physics, statistics, or a related technical field. Intention to graduate and begin full time employment by August 2028 
- Strong programming skills in Python, working comfort in a systems language such as C++, a plus 
- Hands-on experience with machine learning frameworks such as PyTorch or JAX that goes beyond calling the API - training at scale, extending a library, or making an existing workflow measurably faster 
- Exposure to the systems machine learning runs on: distributed training, GPU programming, orchestration, or large-scale data processing. We're more interested in what you did with a tool and what it changed than in seeing it named on a list 
- Experience with GPU kernel programming in CUDA, Triton, or CuTe DSL 
- Solid computer science fundamentals: data structures, algorithms, concurrency, and an understanding of how software behaves on real hardware 
- A project, system, or open-source contribution you can walk through in detail - what you designed, what you decided, and what you specifically did 
- Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment 

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
## Skills

- Doctor of Philosophy (PhD)
- Data Ingestion
- GPU Computing
- Open-Source Software
- NVIDIA Triton Inference Server
- Python
- Linux Kernel Development
- Algorithms
- Big Data
- Statistics
- Distributed Training (Machine Learning)
- Mathematics
- C++
- Domain-Specific Language (Dsl)
- Training Pipelines
- JAX
- GPU (Graphics Processing Unit)
- Concurrent Programming
- NVIDIA CUDA
- Computer Science
- Data Structures
- Electrical Engineering
- Machine Learning
- GPU Infrastructure

## How to Apply

[Apply for this position](https://www.foundrole.com/jobs/machine-learning-engineering-internship-at-susquehanna-international-01a0d6b8-f57f-75eb-a5ef-c7d9e7c1c975?utm_source=ai_markdown)

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