Machine Learning Engineering Internship: Summer 2027 (Machine Learning)

Location: 10-week U.S.-based internship with full-time placement in the Hong Kong office upon graduation

Company

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

What you will do

• Build and optimize training pipelines across GPU infrastructure, including distributed training for large models.
• Develop inference and deployment systems for production trading models, optimizing 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 experienced 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 experience with machine learning frameworks such as 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.
• Knowledge of data structures, algorithms, concurrency, and software behavior on real hardware, plus a project or contribution that can be discussed in detail.

Nice to have

• Working familiarity with a systems language such as C++.
• Prior finance experience is not required.

Culture & Benefits

• Small, highly collaborative engineering teams with open technical debate.
• Projects that can move into production quickly when validated.
• One-on-one mentorship from experienced engineers and researchers.
• Comprehensive education program focused on machine learning, quantitative research, and trading practices.
• Visa sponsorship is available.