The opportunity
You'll work directly on the AI systems powering Binance AI Products and next-generation agentic trading features — alongside the full-time algorithm team, on real production challenges.
What you'll do
Contribute to the design and development of LLM-powered pipelines for agentic: trading — including reasoning agent components, tool-use frameworks via MCP, and automated workflow execution across crypto markets.
Build and evaluate prompt engineering strategies, test-time scaling: approaches, and retrieval architectures for crypto-native data sources — on-chain data, market feeds, news, and sentiment signals.
Design and run model evaluation experiments: defining quality metrics for agent reasoning in financial contexts, executing benchmarks, and synthesizing results into actionable findings.
Analyze agent performance characteristics in live trading scenarios: covering decision accuracy, latency, reliability, and adversarial robustness.
Apply AI-native development practices using agentic coding tools as a: standard part of the engineering workflow — writing and executing Python code for strategy logic, data pipelines, and agent evaluation.
What they're looking for
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data: Science, Statistics, Mathematics, or related technical field.
- Expected graduation in 2026 or 2027.
- Strong Python programming skills with demonstrated AI-native development: practices — you use agentic coding tools (Claude Code, Cursor, GitHub Copilot Workspace) as a core part of your workflow.
- Foundational understanding of how large language models work: attention mechanisms, prompting, and the difference between standard generation and reasoning models.
- Structured problem-solving approach and ability to operate independently on defined tasks.
