Senior Software Engineer - ML Performance

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About this kind of role

What a Senior Software Engineer - ML Performance usually does. The employer's own details are in the listing.

Typically does: This role focuses on optimizing machine learning models for speed, efficiency, and scalability. Responsibilities include profiling existing models, identifying bottlenecks, and implementing performance improvements. Work often involves collaborating with machine learning scientists and other engineers to deploy and maintain high-performance ML systems. The engineer may also research and evaluate new technologies to enhance model performance.

Tools and skills: Proficiency in Python, experience with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms (AWS, Azure, GCP), and strong debugging and profiling skills are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for machine learning, particularly those who enjoy tackling complex performance challenges, are detail-oriented, and possess excellent problem-solving abilities.