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Binance Accelerator Program - Data Scientist, LLM Agents & Fraud Detection (P2P)

1 day, 6 hours ago
Singapore, Taiwan, Australia, Hong Kong
Internship
Entry Level
Data Scientist
Data Science and Analytics
Computer Vision Deep Learning Generative AI LLM NLP Python Reinforcement Learning SQL
Apply Now
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
5001+
Founded 2017
$10M raised
View All Jobs 34

Description

  • Design, develop, and evaluate AI models for P2P scam detection.
  • Design, assess, and improve LLM-agent workflows and prompts for P2P use cases.
  • Fine-tune small LLMs and VLMs using methods such as supervised fine-tuning and reinforcement learning.
  • Improve detection accuracy and efficiency across AI models and workflows.
  • Collaborate with data scientists and engineers to optimize the detection pipeline.
  • Deliver actionable risk and detection insights to key stakeholders.

Requirements

  • Be a current full-time or part-time undergraduate, Master’s, or PhD student, or a recent graduate.
  • Understand AI and mathematical foundations, including deep learning, generative AI, reinforcement learning, prompt engineering, and optimization techniques.
  • Have experience building agentic workflows and their applications.
  • Demonstrate interest in fine-tuning small LLMs or VLMs, including SFT, LoRA, or reinforcement learning.
  • Be available to commit for a minimum of one year (preferred).
  • Be proficient in Python and SQL (preferred).
  • Have practical experience with LLM applications, prompt optimization, or NLP/CV models (preferred).

Benefits

  • Competitive salary and company benefits.
  • Remote-first, work-from-home arrangement, depending on role and team needs.
  • Opportunities for career growth and continuous learning.
  • Autonomy to work on challenging projects in a fast-paced environment.
  • Collaboration with global, user-focused teams in a flat organizational structure.

Interested in this position?

Apply directly on the company website

Apply Now

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