Machine Learning Engineer

IMC Trading is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. The Machine Learning Engineer will build and optimize distributed training and low-latency inference systems, leverage GPU acceleration, and develop scalable frameworks for high-volume trading data. The role also involves collaborating with quantitative researchers and HPC specialists to automate experimentation, improve workflows, and enhance machine learning infrastructure.

Responsibilities:

• Develop large-scale distributed training pipelines to manage datasets and complex models
• Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
• Develop libraries to improve the performance of machine learning frameworks
• Maximize performance in training and inference using GPU hardware and acceleration libraries
• Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
• Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
• Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
• Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
• Dig into the internals of open-source ML tools to extend their capabilities and improve performance