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

Australia; Hong Kong; Singapore; Taiwan2d ago

In Office Junior APAC Artificial Intelligence Data Scientist PhD Student SQL Python

Requirements

• 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.

Responsibilities

• 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.

Benefits

• 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)