Deeplite
Deeplite is a company that specializes in optimizing AI models for edge computing, aiming to accelerate the adoption of AI processors. They provide bespoke pre-optimized models and tools that simplify the training and deployment process for end-users, significantly reducing the time to market for AI applications. With their innovative approach, Deeplite addresses the challenges faced by semiconductor companies and enhances the overall efficiency of AI model deployment.
Artificial Intelligence • Deep Learning • Computer Vision • Optimization • Software Accelerator
Senior Deep Learning Engineer
February 15
Deeplite
Deeplite is a company that specializes in optimizing AI models for edge computing, aiming to accelerate the adoption of AI processors. They provide bespoke pre-optimized models and tools that simplify the training and deployment process for end-users, significantly reducing the time to market for AI applications. With their innovative approach, Deeplite addresses the challenges faced by semiconductor companies and enhances the overall efficiency of AI model deployment.
Artificial Intelligence • Deep Learning • Computer Vision • Optimization • Software Accelerator
📋 Description
• From the AI company Deeplite • Developing a platform to train, optimize, and deploy models for edge devices • Leading model development and optimization efforts • Working closely with the software engineering team for platform development
🎯 Requirements
• MSc or higher degree in computer science, or related technical field • Strong working knowledge of deep learning and experience solving real-world problems in Computer Vision • At least 2 years of experience with PyTorch • At least 5 years of industry experience with Python • Experience building systems based on machine learning and/or deep learning • Experience developing large code base involving deep learning models • Understanding of low-level implementation of neural networks • Experience with CI/CD and GitHub (nice to have) • C/C++ coding experience (nice to have) • Paper publication record in reputed conferences like CVPR, NeurIPS, ICML, ICCV (nice to have) • Experience working with object detection models (nice to have) • Experience with compression techniques like Pruning, Quantization (nice to have) • Experience developing and maintaining deep learning model zoo (strong asset)
🏖️ Benefits
• Competitive compensation • Benefits from day 1 • Remote work • Tools and resources to empower you to do your best work • Fun and tech culture
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