Machine Learning Systems Engineer

April 5

🔄 Hybrid – Toronto

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CentML

We Make ML Training Affordable. Our platform offers significant savings on your training costs for ML models.

Machine Learning • NLP • Computer Vision • Deep Learning • Optimizations

11 - 50

Description

• Communicate with product teams and profile ML/DL workloads • Design and implement novel solutions • Survey and reproduce state-of-the-art research • Write unit tests and benchmarks to validate solutions

Requirements

• 2+ years of experience in researching or contributing to ML/DL systems and frameworks • Excellent communication skills • Strong coding skills in Python and C++ • Solid fundamentals in machine learning and deep learning • Solid fundamentals in computer science and computer engineering • Experience with GPU architecture and programming • Experience with TPU • Strong academic or publication records

Benefits

• Develop high-performance, power-efficient datacenter solutions for Deep Learning • Bring your experience and interests to help optimize next-generation inference and training frameworks • Redefine the deep learning industry • Join a team of experts from top tech companies • Work on novel solutions for ML/DL systems

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