Machine Learning Engineering Internship: Summer 2027
Core
Build and optimize training pipelines, inference, and deployment for machine learning systems integrated into research and trading workflows.
Role type
Machine Learning Engineering Intern
Builds
High-performance ML systems for trading and research
Domain
Financial markets / Machine Learning Systems
Deliverable
production ML models
Required skills
Python, PyTorch, JAX, CUDA, Triton, CuTe DSL, distributed training, GPU programming, data structures, algorithms, concurrency
Preferred skills
C++, large-scale data processing, open-source contributions
Technologies
PyTorch, JAX, CUDA, Triton, CuTe DSL
Responsibilities
Build and optimize training pipelines across GPU infrastructure; Work on inference and deployment for production trading systems; Develop data infrastructure for market datasets; Profile and benchmark ML workloads; Contribute to internal libraries and open-source tools
Seniority
Intern
