Applied Data Scientist: Crypto Markets & AI Agents

Binance; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote‑first company culture

Competitive compensation

Global, diverse team

Job summary

Binance is seeking an Applied Data Scientist to join the Algorithm team. You will design, build, and improve AI agents that understand markets and reason over on‑chain data for hundreds of millions of users.

You will work on chain‑level reasoning, multi‑agent orchestration, and production deployment in a fast‑paced trading environment. You will develop for real environments, focusing on latency, reliability, and scalable test‑time improvements, leveraging frameworks like vLLM and TensorRT‑LLM

Qualifications

• Strong Python programming and AI engineering background.
• Experience with LLMs, prompt engineering, and production pipelines.
• Familiarity with multi-agent system design and tool use.

Responsibilities

• Design and implement production‑grade LLM pipelines powering Binance AI products.
• Improve agent capabilities regarding understanding, reasoning, and action execution.
• Build evaluation frameworks for reasoning model outputs in crypto contexts.

Skills

Python programming

LLM systems

Multi-agent systems

Prompt engineering

AI engineering

Education

Bachelor’s or Master’s degree in CS/EE/Statistics

Tools

vLLM

TensorRT-LLM

Python tooling

Job description

Binance is seeking an Applied Data Scientist to join the Algorithm team. You will design, build, and improve AI agents that understand markets and reason over on‑chain data for hundreds of millions of users.

You will work on chain‑level reasoning, multi‑agent orchestration, and production deployment in a fast‑paced trading environment. You will develop for real environments, focusing on latency, reliability, and scalable test‑time improvements, leveraging frameworks like vLLM and TensorRT‑LLM