Role Details

Location

Asia

Salary (est. USD)

~$140K - $220K (est. USD)

Estimated based on role seniority, company stage (Private), and industry benchmarks. Actual compensation may vary.

How is this calculated?

Seniority band Senior / Lead

Base range $140K – $220K

Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).

Department

Big Data

Type

Full-time

Vertical

Exchange

Posted

1 week ago

Hiring Manager

Best Guess

Job Description

Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange.

Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.

If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.

Responsibilities

Data Analysis and Statistical Modeling: Extract valuable insights from large-scale datasets, apply data science methods for statistical analysis and modeling, and transform complex analytical results into clear, actionable visualizations and recommendations to support business decision-making, forecasting, and process optimization.

AI-Driven Initiatives: Lead the design, development, and deployment of LLMs applications/agentic models, collaborating closely with business and technical teams to implement AI solutions that enhance team efficiency and capabilities.

Prompt Engineering and Model Optimization: Utilize prompt engineering, model selection, hyperparameter tuning, model fine-tuning, data retrieval, and coding to develop key product features. Optimize LLM performance to ensure efficient application in business scenarios.

Cross-Functional Collaboration: Work closely with global business and technical teams to gather and analyze requirements, delivering AI and data-driven solutions aligned with strategic objectives.

Requirements

Over 5 years of work experience in data analysis, data science, or related fields.

Strong programming skills in Python/SQL; proficiency with AI/ML libraries (PyTorch, TensorFlow, Hugging Face).

Deep understanding of LLMs with practical experience, proficient in using tools like Dify, n8n, or Coze to develop LLM agents. Experience with RAG or model fine-tuning for planning-related tasks.

Fluent in English and Chinese, capable of seamlessly switching languages in technical and business discussions.

Exceptional independent analytical and problem-solving skills, with the ability to deeply understand business pain points and collaborate with technical teams to address complex challenges in LLM application and optimization.