NLP Algorithm Engineer Intern

About Us

Key Responsibilities

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  LLM Application Development: Participate in the development of LLM-based applications, including Q&A systems, Agents, and algorithmic workflow systems.

  
  


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  Workflow & Prompt Engineering: Assist in workflow development, as well as Prompt design and optimization to improve model performance.

  
  


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  Agent Capabilities: Assist in implementing Tool Use (Function Calling) and foundational multi-turn dialogue logic.

  
  


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  Core NLP Tasks: Implement tasks such as text classification, information extraction, and semantic matching.

  
  


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  Model Modeling: Participate in small-scale modeling (classification/labeling tasks) and performance optimization.

  
  


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  Data Management: Perform data cleaning, basic feature engineering, and result analysis.

  
  

Job Requirements

Basic Requirements

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  Coding Proficiency: Proficient in Python with good coding habits and strong problem-solving skills.

  
  


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  NLP Fundamentals: Familiar with common NLP tasks (Text Classification, NER, Semantic Matching, etc.) and their standard methodologies.

  
  


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  Modeling Experience: Capable of independently completing the training and fine-tuning of simple classification or labeling models.

  
  


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  Theoretical Knowledge: Deep understanding of Transformer / BERT principles (structure, training objectives, and application scenarios).

  
  


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  LLM Exposure: Experience with Large Language Models (e.g., API calls, basic Prompt Engineering).

  
  


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  Agent Concepts: Understanding of Agent fundamentals (e.g., Tool Use, multi-turn dialogue) or experience with basic implementations.

  
  

Preferred Qualifications (Plus)

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  Practical Experience: Hands-on experience with Q&A systems (QA / Chatbot) or RAG (Retrieval-Augmented Generation) frameworks.

  
  


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  ML/DL Foundations: Solid understanding of Machine Learning/Deep Learning (training workflows, loss functions, etc.).

  
  


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  Software Engineering: Proficiency in Java or experience in backend development (API design and service implementation).

  
  


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  Project Portfolio: Demonstrated experience through course projects, personal side projects, or open-source contributions.

  
  

Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment. 
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.