About the Role
This position is for students who are excited about applying AI to improve how software is built. You will work on real-world projects that explore how large language models and AI tools can enhance developer productivity and engineering workflows.
You’ll gain hands-on experience building AI-powered tools and contributing to a growing internal AI platform.
What You Will Do
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
What We're Looking For
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 (e.g., Git, debugging)
Good communication skills and willingness to learn
Bonus Points
Experience with AI-related projects (e.g., chatbots, NLP, automation tools)
Exposure to Prompt Engineering or AI-assisted development workflows
Coursework or basic knowledge in machine learning or NLP
Personal projects, technical blogs, or GitHub portfolio
Skills Required
- Current university student or recent graduate (Bachelor's or Master's in Computer Science or related field)
- Proficiency in at least one programming language (Python preferred)
- Strong programming fundamentals and problem-solving skills
- Interest in AI and large language models (LLMs)
- Experience using tools like ChatGPT or GitHub Copilot
- Familiarity with basic software development workflows (Git, debugging)
- Good communication skills and willingness to learn
- Experience with AI-related projects (chatbots, NLP, automation)
- Exposure to prompt engineering or AI-assisted development workflows
- Coursework or basic knowledge in machine learning or NLP
- Personal projects, technical blogs, or GitHub portfolio
Binance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.
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Career-Linked Recognition & Rewards — Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
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Flexible Benefits — Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
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Retirement Support — Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.
Binance Insights
What We Do
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com
