Binance Accelerator Program - AI Productivity Engineer
Binance·7 months ago
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
Market context
Measured from remote postings we have tracked ourselves — not self-reported survey data.
What Mid Level Data Science roles in Asia pay
- 25th
- $26k
- Median
- $62k
- 75th
- $98k
Based on 138 comparable postings with disclosed salaries, last 12 months.
How Binance is hiring
- Last 90 days
- 152 roles
- Total tracked
- 856
- Hiring across
- 11 job families
Tracked since January 2020.