AI Tools & Efficiency Engineer (Student)

Binance

United States

Remote

USD 17.000 - 39.000

Teilzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Binance is seeking a motivated student intern to help build AI tools such as coding assistants, automation scripts, and knowledge Q&A systems. You will support the development of LLM-based applications, test and document internal AI tools, and contribute to initiatives that improve engineering efficiency and developer experience.

This role emphasizes learning and collaboration in a fast-paced environment. Candidates should be eager to learn, communicate well, and bring a proactive mindset.

Qualifikationen

  • Bachelor's or Master's degree in Computer Science or related field.
  • Proficiency in at least one programming language (Python preferred).
  • Strong fundamentals in programming and problem-solving.
  • Interest in AI, especially 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
AI interest
Strong programming fundamentals
Communication skills
Willingness to learn

Ausbildung

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

Tools

Git
ChatGPT
Copilot

Jobbeschreibung

Binance is seeking a motivated student intern to help build AI tools such as coding assistants, automation scripts, and knowledge Q&A systems. You will support the development of LLM-based applications, test and document internal AI tools, and contribute to initiatives that improve engineering efficiency and developer experience.

This role emphasizes learning and collaboration in a fast-paced environment. Candidates should be eager to learn, communicate well, and bring a proactive mindset.

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