Machine Learning Engineering Internship (Machine Learning)

Location: Bala Cynwyd (Philadelphia Area), Pennsylvania, United States

Company

hirify.global develops research and trading systems supported by proprietary datasets and large-scale computing infrastructure.

What you will do

• Build and optimize machine learning training pipelines across GPU infrastructure, including distributed training for large models.
• Develop inference and deployment systems for production trading environments, focusing on latency, throughput, and cost.
• Build data infrastructure for ingesting, storing, and transforming large and noisy market datasets.
• Profile and benchmark machine learning workloads and contribute to internal libraries and open-source tools.
• Work with engineers and researchers through mentorship and an education program covering machine learning, quantitative research, and trading.

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.
• Strong programming skills in Python and hands-on experience with PyTorch or JAX beyond basic API usage.
• Experience with distributed training, GPU programming, orchestration, or large-scale data processing.
• Experience with GPU kernel programming in CUDA, Triton, or CuTe DSL.
• Strong foundations in data structures, algorithms, concurrency, and software behavior on real hardware, plus a detailed project or open-source contribution to discuss.

Nice to have

• Working comfort with a systems language such as C++.
• No prior finance background is required.

Culture & Benefits

• Ten-week immersive internship with projects aligned to full-time engineering work.
• Small, highly collaborative engineering teams with open technical debate.
• One-on-one mentorship from experienced engineers and researchers.
• Access to proprietary datasets and a growing cluster of thousands of high-end GPUs.