AI Scientist - Agentic Trading & LLM Pipelines (Remote)

Binance

Singapore

Hybrid

SGD 33,480 - 50,220

Full time

14 days+
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Benefits offered by this job

Competitive salary
Work-from-home arrangement
Opportunities for career growth
Continuous learning

Job summary

Binance is offering an immersive internship through the Binance Accelerator Program in Singapore for current university students and recent graduates. Interns will work on AI systems that power Binance's products, contributing to real production challenges while gaining valuable experience. Responsibilities include developing LLM pipelines, conducting model evaluations, and applying AI-native development practices. This opportunity emphasizes professional growth in a fast-paced environment with competitive compensation and benefits.

Qualifications

  • Currently pursuing a Bachelor’s or Master’s degree.
  • Expected graduation in 2026 or 2027.
  • Demonstrated AI-native development practices.

Responsibilities

  • Contribute to LLM-powered pipelines for trading.
  • Build and evaluate prompt engineering strategies.
  • Design and run model evaluation experiments.
  • Analyze agent performance in trading scenarios.
  • Write and execute Python code for agent evaluation.

Skills

Strong Python programming skills
Understanding of large language models
Structured problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics

Tools

Agentic coding tools (Claude Code, Cursor, GitHub Copilot)

Job description

Binance is offering an immersive internship through the Binance Accelerator Program in Singapore for current university students and recent graduates. Interns will work on AI systems that power Binance's products, contributing to real production challenges while gaining valuable experience. Responsibilities include developing LLM pipelines, conducting model evaluations, and applying AI-native development practices. This opportunity emphasizes professional growth in a fast-paced environment with competitive compensation and benefits.
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