Pioneer Talent Program - Applied Data Scientist

Binance
Hong Kong +1 more
On-site

Who this role is best for

Strong fit for candidates with hands-on LLM application experience who thrive in high-frequency trading environments and are comfortable with crypto-native systems.

Best fit for

  • Individuals who can operate under ambiguity in fast-moving financial environments
    — “comfortable operating under ambiguity in fast-moving environments”
  • Professionals who have translated research into production-grade AI systems
    — “turning research ideas into production”

Things to consider

  • The role requires working in a 24/7 trading environment with zero-downtime expectations
    — “zero-downtime, 24/7 trading environment”
  • Candidates must be prepared to integrate on-chain data and wallet intelligence into AI pipelines
    — “integrate on-chain data sources, wallet intelligence, and crypto market signals”

How to stand out

  • Highlight experience in deploying LLMs in high-frequency, real-time environments
    — “designing agent architectures, improving performance across quality and latency”
  • Showcase ability to build evaluation frameworks for open-ended AI tasks
    — “developing evaluation methods for open-ended tasks”
  • Emphasize comfort with AI-assisted development tools as a core part of your workflow
    — “demonstrated comfort with vibe coding — using AI-assisted development tools fluidly”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful AI agent design and implementation
Typical background
0–5 years of industry or research experience in applied ML or AI engineering

Skills & requirements

Required

LLM SystemsAgentic AICrypto-native IntelligencePython ProgrammingPrompt Engineering

Preferred

Multi-agent System Design

Stack & domain

LLM SystemsAgentic AICrypto-native IntelligencePythonPrompt EngineeringPost-trainingEnd-to-end LLM Application DevelopmentMulti-agent System DesignTask DecompositionTool Use Via MCPMemory ManagementParallel Agent ExecutionInter-agent CommunicationAnalytical ThinkingData ScienceCryptocurrencyAI

About the role

Original posting from Binance via Greenhouse

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

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

Why Binance

Shape the future of finance 

Collaborate with world-class talent in a user-centric global organization with a flat structure

Tackle challenging projects in a fast-paced and innovative enviornment with autonomy

Thrive in a results-driven workplace with opportunities for career growth and continuous learning

Competitive salary and company benefits

Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Source: Binance careers (Greenhouse)

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