IMC Trading
Graduate Deep Learning Researcher - New York
Eligibility
- Degree completed or current postdoctoral status
- Able to start full time in February or August 2027
Graduate role in New York for Deep Learning Researcher applying advanced AI and ML techniques to improve trading models, suitable for recent graduates or those in early career research positions.
Responsibilities
- Build and improve deep learning models to enhance trading performance across multiple asset classes
- Contribute to research in representation learning, transformers, foundation models, generative AI, reinforcement learning and other deep learning techniques
- Support data curation, feature representation, and self-supervised and multimodal learning from structured and unstructured datasets
- Contribute to shared training infrastructure and deployment pipelines
- Keep current with academic and industry developments and share relevant research
Requirements
- PhD, Master's or Bachelor's degree completed to start full time in 2027 or currently in a postdoctoral position in relevant quantitative field
- Demonstrated deep learning research or applied machine learning experience
- Experience with modern deep learning architectures such as transformers, sequence models, representation learning, self-supervised learning, or generative models
- Strong theoretical understanding of deep learning and optimization
- Proficient programming skills in Python and experience with PyTorch, JAX or TensorFlow
- Strong communication skills
Skills
- Deep learning
- Machine learning
- Python
- PyTorch
- JAX
- TensorFlow
- Research
- Last checked