AI Tools & Efficiency Engineer (Remote) — Accelerator

Binance

Hong Kong

Remote

HKD 112.000 - 179.000

Vollzeit

vor 22 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Binance is seeking a student intern in its AI tooling group in Hong Kong. You will help build AI tools, test and document internal AI platforms, and support LLM-based applications, with emphasis on Python and practical problem solving.

The role offers exposure to cutting-edge AI projects, collaboration with engineers, and a remote-first work setup, enabling learning across a global team.

Qualifikationen

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science or a related field.
  • Proficiency in at least one programming language (Python preferred).
  • Strong fundamentals in programming and problem-solving.
  • Interest in AI, especially large language models (LLMs).
  • Experience using tools like ChatGPT, Copilot, or similar.
  • Familiarity with basic software development workflows (Git, debugging).
  • Good communication skills and willingness to learn.

Aufgaben

  • Assist in building AI tools such as coding assistants, automation scripts, and knowledge Q&A systems.
  • Support the development of LLM-based applications (e.g., prompt optimization, lightweight RAG pipelines).
  • Contribute to initiatives that improve engineering efficiency and developer experience.
  • Help test, iterate, and document internal AI tools and platforms.
  • Research and experiment with emerging AI technologies and use cases.

Kenntnisse

Python
Problem solving
AI interest
Communication

Ausbildung

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Git
ChatGPT / Copilot

Jobbeschreibung

Binance is seeking a student intern in its AI tooling group in Hong Kong. You will help build AI tools, test and document internal AI platforms, and support LLM-based applications, with emphasis on Python and practical problem solving.

The role offers exposure to cutting-edge AI projects, collaboration with engineers, and a remote-first work setup, enabling learning across a global team.

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