Description
EXAONE Lab is recruiting a researcher/developer for large language model work focused on advancing state-of-the-art AI technologies and applying them to real services. The role involves data collection and preprocessing pipeline construction, benchmarking in-context learning and fine-tuning, prompt engineering, inference engine optimization, multi-task instruction tuning, toxic classifier and safety methodology research, reinforcement learning and distributed training, and model compression. Candidates should be graduating undergraduates, already graduated, or currently enrolled in a master's or doctoral program, with required experience developing deep learning and machine learning algorithms and strong skills in Linux, Python, PyTorch, and HuggingFace language models. Preferred experience includes pretraining, DeepSpeed/FastTransformer, competitions/open source, ML production cycles, large-scale data frameworks, and publications in language-model-related research.
