Campus AI ML Researcher
You will implement open-ended machine-learning research projects from concept to production and continuously improve model design, tools, and infrastructure. Your projects may support quantitative research and monetization. You will apply machine learning, statistics, programming, and market intuition to challenging research problems.
Responsibilities
- Implement machine-learning research projects from concept to production
- Continuously improve model design, tools, and infrastructure
- Develop research for quantitative research and monetization processes
Requirements
- Machine learning
- Statistics
- Publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent
- Open-source AI research contributions
- PyTorch, TensorFlow, or JAX familiarity
- Python or C++ proficiency
- Quantitative problem-solving
- Communication with trading researchers
- Deep learning
- Language-model architectures, including transformers or SSMs
- Reliable and predictable availability