Intern - GenAI Benchmarking (MLE) / On-Device Model Deployment (SWE)

Seoul, Korea, Republic of

KRW 45000K-67000K (estimate) Entry-level Internship

@ q...

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Found 13d ago

Tasks

Apply graph level changes for static shape export and KV cache allocation
Build benchmarking frameworks for reproducible evaluation
Define evaluation strategies and key performance metrics
Develop reliable generative model evaluation methods
Implement efficient inference techniques such as speculative decoding
Implement long context handling and KV cache management
Integrate and update Hugging Face Transformers components
Maintain code for model decoding logic
Replace operators with NPU DSP compatible equivalents
Restructure model architectures for efficient on device inference
Support post training quantization and mixed precision quantization
Validate accuracy of quantized models against reference models
Write tested documented code with automated testing and code review

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Intern - GenAI Benchmarking (MLE) / On-Device Model Deployment (SWE)

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