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: Performance and Learning
At Samsara, we pride ourselves on being an exceptional employer that empowers our employees to drive meaningful change in the industries that sustain our world. With a strong focus on innovation and collaboration, our work culture fosters creativity and growth, offering ample opportunities for professional development and career advancement. Located in Canada, you will enjoy the flexibility of a remote position while contributing to impactful projects that enhance safety, efficiency, and sustainability across various sectors.
