Applied Data Scientist: AI Agents for Crypto Markets

BlockchainHQ; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Binance is seeking an Applied Data Scientist to join the 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. You will design agent architectures, optimize for latency and reliability, and translate research ideas into production.

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; comfortable with AI-assisted development tools.
• 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.

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

Skills

Python programming

LLMs

Multi-agent design

Analytical thinking

Problem decomposition

AI-assisted development tools

Education

Bachelor's or Master's in CS/EE/Stats/Math

Tools

vLLM

TensorRT-LLM

Job description

Binance is seeking an Applied Data Scientist to join the 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. You will design agent architectures, optimize for latency and reliability, and translate research ideas into production.