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.