Machine Learning Research Intern - Summer 2027 - Chicago
IMC TradingAbout the Role
This Machine Learning Internship is designed for ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10–12 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and options markets. You'll gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment. Throughout the program, you'll deepen your understanding of quantitative trading through classroom and on-desk training, while benefiting from professional development and networking opportunities.
Requirements
- Current university student pursuing a PhD, Master's or Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related quantitative field, and graduating between September 2027 and July 2028
- Experience in applying deep learning techniques
- Publication records at leading ML venues (NeurIPS, ICML, ICLR) or contributions to open source research a plus
- Strong programming skills in Python and hands-on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow
- A creative problem-solver who is driven, resilient, and able to explain complex ideas clearly to both technical and non-technical audiences
- Must be able to start the internship in person on June 7, 2027
What You'll Get
- $300k+ base salary
- Accommodations included
- Discretionary bonus (for full-time, permanent positions)
- Benefits including paid leave and insurance
- Professional development sessions
- Events and social activities
- Dedicated mentor and intern lead