Build scalable machine learning systems at DRW, applying deep learning optimization and production model expertise to high-impact trading technology. Chicago-headquartered DRW offers diverse projects.As a Machine Learning Specialist, you will build critical systems supporting machine learning models. The work spans scalable serving systems, training and inference optimization, and MLOps infrastructure. You will apply machine learning frameworks, GPU programming, and production model experience while collaborating with software, data, and machine learning professionals.Key Responsibilities: Design scalable systems serving machine learning modelsOptimize deep learning training and inference performanceCreate feature pipelines, feature stores,



and model storesMonitor production models and establish retraining infrastructureBuild frameworks supporting scalable, reproducible researchRequirements: Bachelor’s or master’s degree in computer science or equivalentFive or more years building software for machine learning systemsStrong machine learning and deep learning understandingExperience with MLOps infrastructure and toolingTensor Flow, Py Torch, Tensor RT, ONNX, or GPU programming experienceApply machine learning systems, MLOps, and inference optimization expertise to critical technology projects at DRW.#J-18808-Ljbffr

📌 Machine Learning Systems Specialist (Montreal)
🏢 The Institute for Performance and Learning
📍 Montreal