IMC Trading

Graduate Machine Learning Researcher - Chicago

Chicago, United States · Full-time

Sponsorship not specifiedDetected 14 days ago

PythonMachine LearningDeep LearningTensorFlowPyTorchStatisticsA/B TestingElectrical EngineeringResearchProblem Solving

About the role

As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies.
You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets.
Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded.

Collaborate closely with traders, researchers, and engineers to translate research into production trading systems
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

PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics or a related quantitative field
Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX
Ability to commence full-time employment in February or August 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.

Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production
Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments
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.

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.

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