IMC is seeking PhD candidates for a 10–12 week in-person Machine Learning Research internship in Chicago, conducting hands-on research designing and applying original machine learning algorithms.
Core Responsibilities
- Conduct hands-on research designing and applying original machine learning algorithms.
- Analyze large-scale datasets to develop predictive models.
- Build research skills through mentorship and feedback.
- Deepen understanding of quantitative trading via classroom instruction.
Required Skills & Experience
- Strong foundations in machine learning, probability, and statistics.
- Demonstrated hands-on experience with deep learning (neural networks, sequence modeling, optimization).
- Python proficiency and expertise with PyTorch, TensorFlow, and/or JAX.
- Proven research excellence via publications at NeurIPS, ICML, ICLR, or equivalent venues.
- Must start in-person June 7, 2027.
Travel and accommodation are covered. High-performing interns may advance to full-time Graduate Researcher roles post-graduation.