Campus AI Researcher, PhD/Postdoc (Intern)
Core
Research scientist applying machine learning to achieve state-of-the-art capabilities in complex quantitative domains, implementing projects from concept to production.
Role type
Research scientist (PhD/Postdoc)
Builds
Predictive trading models and ML infrastructure for global financial markets
Domain
Quantitative finance / Machine Learning
Deliverable
production ML models
Required skills
Machine learning expertise, deep learning techniques, language modeling architectures, Python development, C++ development, PyTorch, TensorFlow, JAX, statistical analysis, data mining
Preferred skills
HPC experience, distributed large model training, GPU performance optimisation (CUDA/ROCm), end-to-end model development, open-source AI contributions
Responsibilities
Implement open-ended research projects from concept to production, continuously improve model design and infrastructure, reason through quantitative problems, collaborate with trading researchers
Seniority
PhD/Postdoc level, hands-on IC