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

• →Design, develop, and assess AI models focused on detecting P2P scams.
• →Design, evaluate, and improve the agentic workflows and prompts of LLM agents in the P2P domain.
• →Fine-tune smaller LLMs/VLMs (e.g. supervised fine-tuning, reinforcement learning) to improve detection accuracy and efficiency.
• →Collaborate closely with data scientists and engineers to optimize the detection pipeline and deliver actionable insights to key stakeholders.

• Currently enrolled as a full-time or part-time undergraduate, Master’s, or PhD student, or a recent graduate.
• Solid understanding of AI principles and mathematical foundations, including deep learning, generative AI, reinforcement learning, prompt engineering, and optimization techniques.
• Experience in building agentic workflow and its applications.
• Strong interest in fine-tuning small LLMs or VLMs (e.g. SFT, LoRA, reinforcement learning).

• Commitment to a minimum duration of 1 year.
• Proficiency in programming languages, particularly Python and SQL.
• Practical experience with LLM applications, prompt optimization, or NLP/CV models.

• 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.

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