Machine Learning Engineering Internship: Summer 2027
Core
Building high-performance machine learning systems for trading, focusing on training pipelines, inference optimization, and data infrastructure.
Role type
Machine Learning Engineering Intern
Builds
Training pipelines, inference systems, and data infrastructure for production trading models
Domain
Financial markets / Quantitative trading
Deliverable
production ML models
Required skills
Python, PyTorch, JAX, distributed training, GPU programming, CUDA, Triton, CuTe DSL, data structures, algorithms, concurrency
Preferred skills
C++, GPU kernel programming
Technologies
PyTorch, JAX, CUDA, Triton, CuTe DSL
Responsibilities
Build and optimize training pipelines across GPU infrastructure; work on inference and deployment for low-latency trading systems; develop data infrastructure for market datasets; profile and benchmark ML workloads; contribute to internal libraries and open-source tools
Seniority
Intern
