Machine Learning Engineer
1. Proficiency in Python. 2. Solid background in natural language processing (NLP) and large language models (LLM) such as Transformer, LORA, QLORA, RLHF, and DPO. 3. Ability to read and implement the latest algorithms from top conference papers. 4. Strong self-motivation and good communication skills to work with colleagues. 5. Bonus: Having publications in well-known NLP/ML conferences, including but not limited to ACL, EMNLP, KDD, ICML, ICLR, NeurIPS, AAAI, IJCAI. Note: You DO NOT need to have cybersecurity knowledge or backgrounds (it's a plus if you do) 1. Work closely with internal teams to inspire, discover, convert, and integrate existing data into customer-facing applications. 2. Survey and track state-of-the-art NLP/RAG algorithms from top conference or journal papers. 3. Have the ability to implement, experiment, and analyze new algorithms independently. 4. Automate, analyze, and visualize experiment results to improve the quality of current products.公司地址:
新北市板橋區遠東路3號6樓其他:
1. Python 2. RAG framework (LangChain, LlamaIndex) 3. Relational and key-value database 4. 英文檢定：TOEIC 850/ TOEFL 90 / IELTS 6.5 -2024-09-17