Binance Accelerator Programme - LLM Data Scientist

7 months, 3 weeks ago
Contract
Entry Level
Data Science and Analytics
Binance

Binance

Binance operates as a leading blockchain ecosystem and digital asset exchange, integrating digital technology with financial services to facilitate the trading and management of cryptocurrencies.

Capital Markets
5K-10K
Founded 2017
$10M raised

Description

  • Design and develop LLM-based agents tailored to Web3 scenarios.
  • Build agents for token research, summarization, and knowledge retrieval.
  • Assist in developing and evaluating trading agents using market and on-chain data.
  • Experiment with prompt engineering, memory mechanisms, MCP, and agent coordination strategies.
  • Integrate and orchestrate agents with tool use, planning, routing, and multi-agent collaboration workflows.
  • Implement and maintain data processing pipelines for model training, evaluation, and production use.
  • Evaluate agent performance, run experiments, document results, and iterate on models and system designs.
  • Collaborate with cross-functional teams, participate in networking and knowledge-sharing activities within the accelerator program.

Requirements

  • Strong background in data science, machine learning, or computer science.
  • Proficiency in Python and experience building data processing pipelines.
  • Experience with agent orchestration (planning, routing, tool use, or multi-agent collaboration).
  • Familiarity with orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
  • Experience with RAG (retrieval-augmented generation), vector databases, and evaluation of agent systems.
  • Current student or recent graduate able to work full-time for 6 months (junior fixed-term contract).
  • Nice to have: familiarity with Web3 / Crypto.
  • Nice to have: experience with trading systems, backtesting, or market/financial data.

Benefits

  • Competitive salary and company benefits.
  • 6-month immersive Binance Accelerator Program with networking and professional development.
  • Opportunities for career growth and continuous learning within a global organization.
  • Work-from-home arrangement (may vary depending on team needs).
  • Collaboration with world-class talent in a flat, fast-paced environment.
  • Equal opportunity employer with a focus on diversity and inclusive hiring processes.

Interested in this position?

Apply directly on the company website

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