Machine Learning Engineer

<p class="_13fp8yk6c dzswju0 dzswju2">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.</p> <p class="_13fp8yk6c dzswju0 dzswju2">This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC’s technology and trading capabilities.</p> <p class="_13fp8yk6c dzswju0 dzswju2"><strong class="_13fp8yk6c dzswju0">Your Core Responsibilities:&nbsp;</strong></p> <ul> <li class="_13fp8yk6c dzswju0 dzswju2">The opportunity to be in a brand new position in a growing team&nbsp;</li> <li class="_13fp8yk6c dzswju0 dzswju2">Develop large-scale distributed training pipelines to manage datasets and complex models</li> <li class="_13fp8yk6c dzswju0 dzswju2">Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems</li> <li class="_13fp8yk6c dzswju0 dzswju2">Develop libraries to improve the performance of machine learning frameworks</li> <li class="_13fp8yk6c dzswju0 dzswju2">Maximize performance in training and inference using GPU hardware and acceleration libraries</li> <li class="_13fp8yk6c dzswju0 dzswju2">Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions</li> <li class="_13fp8yk6c dzswju0 dzswju2">Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining</li> <li class="_13fp8yk6c dzswju0 dzswju2">Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs</li> <li class="_13fp8yk6c dzswju0 dzswju2">Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities</li> <li class="_13fp8yk6c dzswju0 dzswju2">Dig into the internals of open-source ML tools to extend their capabilities and improve performance</li> </ul> <p class="_13fp8yk6c dzswju0 dzswju2"><strong class="_13fp8yk6c dzswju0">Your Skills and Experience:&nbsp;</strong></p> <ul> <li class="_13fp8yk6c dzswju0 dzswju2">5+ years of experience in machine learning with a focus on training or inference systems</li> <li class="_13fp8yk6c dzswju0 dzswju2">Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus</li> <li class="_13fp8yk6c dzswju0 dzswju2">Strong engineering skills, including Python, CUDA, or C++</li> <li class="_13fp8yk6c dzswju0 dzswju2">Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX</li> <li class="_13fp8yk6c dzswju0 dzswju2">Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)</li> <li class="_13fp8yk6c dzswju0 dzswju2">Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)</li> <li class="_13fp8yk6c dzswju0 dzswju2">Exposure to cloud platforms and orchestration tools</li> <li class="_13fp8yk6c dzswju0 dzswju2">A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus</li> </ul> <p>&nbsp;</p><div class="content-conclusion"><p><strong>About Us</strong></p> <p><em>IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.</em></p> <p>&nbsp;</p></div>

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