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Computer vision and LLM algorithm toolchain and optimization engineer
AmbarellaHsinchu, Taiwan19 days ago
Job descriptionEducation background : Master degree or degree Minimum experience : At least one year of relevant work or academic experience Similar or other experiences : Experience of model deployment would be a plus Experience of model optimization such as pruning and quantization would be a plus Experience of LLM fine-tuning would be a plus Experience of model porting would be a plus Skills Background of machine learning based computer vision or LLM knowledge Familiar with machine leaning frameworks like Pytorch, TensorFlow, or Huggingface Skilled in Python and C / C++ programing.
Role Description :
The engineer will be responsible for the design and development of optimization tools for neural networks, transformers, and large language models (LLMs). This role involves applying post-training, training-aware, and other advanced optimization techniques to enhance model efficiency and performance.
Key responsibilities :
- Develop optimization toolchains for computer vision models and large language models (LLMs).
- Perform hardware-aware model optimization and porting for Ambarella platforms.
- Research and evaluate emerging technologies, including pruning, quantization, and fine-tuning techniques for convolutional neural networks (CNNs), transformers, and LLMs.
- Provide technical support and solutions to customers regarding model optimization and deployment.
Requirements :
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