ML Model Development Engineer (MMDE-2601)

Tetramem • San Jose, CA

10d • Onsite

About The Position

Develop and pioneer novel techniques for model compression to reduce computational complexity and memory footprint maintaining high model performance. Implement machine learning models, handle end-to-end development, from data preprocessing to model training and evaluation. Improve existing machine learning models by exploring new algorithms, fine-tuning parameters, and integrating the research findings. Prototype and iterate on different model designs, experimenting with various architectures and techniques to identify optimal solutions. Implement efficient and optimized code to ensure fast and reliable model inference on our new hardware platform.

Requirements

• Requires Masters Degree in Computer Science, Computer & Systems Engineering or related.
• Requires One year of experience in Job offered, Algorithm Engineer or related.
• Requires experience in Machine Learning, Algorithm Development, C++, Python and CI/CD.

Responsibilities

• Develop and pioneer novel techniques for model compression to reduce computational complexity and memory footprint maintaining high model performance.
• Implement machine learning models, handle end-to-end development, from data preprocessing to model training and evaluation.
• Improve existing machine learning models by exploring new algorithms, fine-tuning parameters, and integrating the research findings.
• Prototype and iterate on different model designs, experimenting with various architectures and techniques to identify optimal solutions.
• Implement efficient and optimized code to ensure fast and reliable model inference on our new hardware platform.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees