NLP Algorithm Engineer Intern

📋 Description LLM app development: Q&A systems, Agents, workflow tools. Workflow & Prompt Engineering: design/optimize prompts for models. Agent capabilities: Tool Use and multi-turn dialogue logic. Core NLP tasks: classification, information extraction, semantic matching. Modeling: small-scale modeling and performance tuning. Data management: cleaning, feature engineering, analysis. 🎯 Requirements Proficient in Python with good coding practices. NLP fundamentals: familiar with common NLP tasks. Modeling: train/finetune simple classification/labeling models. Transformer/BERT theory: structure, objectives, use cases. LLM exposure: API calls and prompt engineering. Agent concepts: Tool Use and multi-turn dialogue basics. 🎁 Benefits Study Growth Fund: support professional development. Internal Events: team-building activities and workshops. Global Collaboration: diverse, international team. Career Advancement: opportunities for growth. Internal Mobility: long-term internal opportunities.