Campus AI Research Engineer – Research Automation (Intern)
Core
Building flexible, reusable frameworks for financial machine learning and optimizing training pipelines for high-performance computing resources.
Role type
Research Automation Engineer (Intern)
Builds
Large-scale ML systems and production-ready frameworks for quantitative trading
Domain
Quantitative finance / High-frequency trading
Deliverable
production ML models
Required skills
Machine learning, deep learning, transformers, language modeling, Python, C++, CUDA, PyTorch, JAX, TensorFlow, HPC, distributed training, GPU optimization
Responsibilities
Implement open-ended research projects from concept to production, optimize training pipelines for HPC resources, integrate ML models into low-latency production systems, build observable and performant ML systems
Seniority
Intern
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