ML Engineering Intern: Build GPU ML Pipelines

Susquehanna International Group, LLP; Bala Cynwyd (PA); On-site; USD 992,000 - 1,543,000; Full time

Job summary

Susquehanna International Group, LLP invites standout students to join a 10-week Machine Learning Engineering Internship. You'll build scalable training pipelines for GPU clusters, work on model inference in production trading systems, and contribute to data infrastructure that handles large, noisy market datasets.

Mentorship from senior engineers and researchers will guide you. The program emphasizes hands-on ML work, training at scale, and exposure to Susquehanna's quant and trading practices.

Qualifications

• Pursuing a Bachelor's, Master's, or PhD in a technical field with intention to graduate and begin full-time by Aug 2028.
• Strong Python programming skills; comfortable with C++ as a systems language.
• Hands-on experience with ML frameworks like PyTorch or JAX beyond API usage.

Responsibilities

• Build and optimize training pipelines across GPU infrastructure.
• Work on inference and deployment, focusing on latency and throughput in production systems.
• Develop data infrastructure to move large market datasets through ingestion and transformation.
• Profile and benchmark ML workloads; contribute to internal libraries and tools.

Skills

Python

C++

PyTorch

JAX

CUDA

Triton

DSA

Concurrency

Data processing

Open-source

Education

Bachelor's/Master's/PhD in CS/ML/EE/Math/Physics/Stats

Tools

CUDA

Triton

CuTe DSL

Job description

Susquehanna International Group, LLP invites standout students to join a 10-week Machine Learning Engineering Internship. You'll build scalable training pipelines for GPU clusters, work on model inference in production trading systems, and contribute to data infrastructure that handles large, noisy market datasets.

Mentorship from senior engineers and researchers will guide you. The program emphasizes hands-on ML work, training at scale, and exposure to Susquehanna's quant and trading practices.