- ¿ì¸® ÆÀ°ú ÇÔ²²ÇÒ ¹Ì¼ÇÀ» ¼Ò°³ÇÕ´Ï´Ù.(Responsibilities)
- Service level language model development
- data annotation R&D using self-supervised learning
- Personalization service R&D using reinforcement learning
ÀÌ·± °æÇèÀ» °¡Áø ºÐ°ú ÇÔ²² ¼ºÀåÇÏ°í ½Í½À´Ï´Ù! (Qualifications and requirements)
- Master's degree in a technical field (computer science, mathematics, ...) or equivalent practical experience
- Work experience of two years (ML fields preferred)
- The ability to quickly understand, implement, and validate recent ML papers
- Familiar with major deep-learning framework (PyTorch, TensorFlow)
- Fluent English
ÀÌ·± °æÇèµéÀÌ ÀÖ´Ù¸é ÀúÈñ°¡ ã´Â ±× ºÐÀÔ´Ï´Ù!(Preferred qualifications)
- Author of a paper released at top-tier conference in ML - (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, AAAI, etc.)
- Experience with large-scale distributed learning at multi-GPUs or multi-Nodes
- Experience of leading ML related research or engineering project
- Language Model related project experience