Build scalable machine learning systems at DRW, applying deep learning optimization and production model expertise to high-impact trading technology. Chicago-headquartered DRW offers varied 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 models Optimize deep learning training and inference performance Create feature pipelines, feature stores, and model stores Monitor production models and establish retraining infrastructure Build frameworks supporting scalable, reproducible research Requirements:
Bachelor’s or master’s degree in computer science or equivalent Five or more years building software for machine learning systems Strong machine learning and deep learning understanding Experience with MLOps infrastructure and tooling TensorFlow, PyTorch, TensorRT, ONNX, or GPU programming experience Apply machine learning systems, MLOps, and inference optimization expertise to critical technology projects at DRW.
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Machine Learning Systems Specialist in Montréal employer: The Institute for Performance and Learning
Accurx is an exceptional employer for Senior Machine Learning Engineers, offering a unique opportunity to contribute to meaningful healthcare solutions in a collaborative and innovative environment. With a strong focus on employee growth, flexible working arrangements, and comprehensive benefits including enhanced parental leave and healthy meals, Accurx fosters a culture that values both professional development and personal well-being. Located in the vibrant Shoreditch area of London, employees enjoy a dynamic workplace that encourages creativity and teamwork while making a real impact on patient care.
Contact Details:
The Institute for Performance and Learning Recruitment Team
