Pioneer Talent Program - Applied Data Scientist

About the Role

We are seeking an Applied Data Scientist to join our Algorithm team - a hands-on builder at the intersection of LLM systems, agentic AI, and crypto-native intelligence.

You will design, build, and improve AI agents that understand markets, reason over on-chain data, and take actions at speed for hundreds of millions of users - across reasoning models that plan before they act, multi-agent systems that orchestrate complex crypto workflows, and test-time scaling that pushes inference-time intelligence to its limits.

You build for real environments: designing agent architectures, improving performance across quality and latency, developing evaluation methods for open-ended tasks, and turning research ideas into production.

Responsibilities

• Design and implement production-grade LLM pipelines powering Binance AI Products and next-generation agentic trading features - including multi-step reasoning agents, tool-selection frameworks, and autonomous workflow execution across spot, perpetual, and on-chain markets
• Continuously improve agent capabilities in understanding, reasoning, tool selection, and action execution - optimizing simultaneously for intelligence, latency, and reliability under high-frequency trading constraints
• Build and maintain evaluation frameworks for reasoning model outputs in crypto contexts - covering market analysis accuracy, agent decision quality, hallucination detection, and adversarial robustness against prompt injection in financial workflows
• Apply test-time scaling techniques - chain-of-thought, self-consistency, process reward models - to push agent reasoning quality in ambiguous, fast-moving market conditions
• Architect AI system components with rigorous attention to inference latency, throughput, and cost efficiency - leveraging serving frameworks such as vLLM and TensorRT-LLM - in a zero-downtime, 24/7 trading environment
• Integrate on-chain data sources, wallet intelligence, and crypto market signals into LLM-powered analytical pipelines - building the data layer that makes Binance's agents genuinely crypto-native
• Partner with research scientists to translate experimental findings into production-grade agentic solutions with clear performance benchmarks

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related technical field
• 0-5 years of industry or research experience in applied ML or AI engineering
• Strong Python programming skills ; Equally important: demonstrated comfort with vibe coding - using AI-assisted development tools fluidly as core part of your workflow
• Demonstrated hands-on experience with LLMs - prompt engineering, post-training, or end-to-end LLM application development
• Familiarity with multi-agent system design - task decomposition, tool use via MCP, memory management, parallel agent execution, and inter-agent communication
• Strong analytical thinking and problem decomposition; comfortable operating under ambiguity in fast-moving environments