Opportunities available in Chicago, New York, Amsterdam, London, Hong Kong, and Sydney
Machine Learning Engineer
As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
This is a unique opportunity to solve problems at the intersection of advanced machine learning and high-frequency trading, where your contributions will shape the future of IMC's technology and trading capabilities.
Your Core 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
Your Skills And Experience
5+ years of experience in machine learning with a focus on training and inference systems
Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
Strong engineering skills, including Python, CUDA, or C++
Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
Experience with cloud platforms and orchestration tools
Track record of contributing to open-source projects in machine learning, data science, or distributed systems – a plus
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since ****, 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. 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.
Seniority level
: Mid-Senior level
Employment type
: Full-time
Job function
: Engineering and Information Technology
#J-*****-Ljbffr