Pioneer Talent Program - Applied Data Scientist

About the Company

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance offers trading, finance, education, research, payments, institutional services and Web3 features, serving users in 100+ countries.

About The Pioneer Talent Program

Early-career program offering full-time roles with a tailored training curriculum and 1:1 mentorship. Participants gain hands-on expertise across Binance’s products and Web3 environment.

About The Role

We are seeking an Applied Data Scientist to join the Algorithm team to 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. Work spans LLM systems, agentic AI, multi-agent orchestration, and production inference-scale engineering.

Responsibilities

• Design and implement production-grade LLM pipelines powering Binance AI products and 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 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
• Apply test-time scaling techniques (chain-of-thought, self-consistency, process reward models) to improve agent reasoning in ambiguous, fast-moving market conditions
• Architect AI system components with 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
• 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; demonstrated comfort with "vibe coding" — using AI-assisted development tools fluidly as part of your workflow
• 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

Benefits

• Competitive salary and company benefits
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy and opportunities for career growth and continuous learning
• Work-from-home arrangement (may vary depending on the work nature of the business team)

Additional Information

• Candidates with up to 5 years of relevant work experience may apply
• Binance is an equal opportunity employer and values a diverse workforce
• By submitting an application you confirm you have read and agree to the Candidate Privacy Notice
• Binance may use AI tools to support parts of the hiring process; final hiring decisions are made by humans