IMC Trading

Machine Learning Research Intern - Summer 2027 - Chicago

Chicago, United States · Intern · Internship

Sponsorship not specifiedDetected 14 days ago

PythonAlgorithmsMachine LearningDeep LearningTensorFlowPyTorchStatisticsElectrical EngineeringResearchMentoring

About the role

You'll gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment where your work can have real-world impact.
Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on desk training, while benefiting from professional development and networking opportunities.
High-performing interns may be considered for a full-time Graduate Researcher position upon graduation.

Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems
Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers
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.
From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.

Demonstrated research excellence through publications, preprints, research internships, or significant research projects
publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred

Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX
Must be able to start internship in-person on June 7, 2027

The Base Salary range for the role is included below.
Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance.

Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate.
Pursuing a PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or a related quantitative field and graduating between September 2027 - July 2028
Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems
Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization
Please visit Benefits - US | IMC Trading for more comprehensive information.
Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems.

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone.
Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend.
Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back.

We offer a highly competitive compensation package, including travel and accommodation.

This listing is sourced directly from IMC Trading's careers page and normalized into a canonical job model.