Binance Accelerator Program - AI Engineering

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About Binance Accelerator Program Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE   Who may apply  Current university students and recent graduates

Responsibilities Participate in the design, development, and maintenance of AI-related components, including model serving, inference modules, and associated toolchain development. Participate in LLM evaluation work, including effectiveness assessment, benchmark construction, and experimental analysis, as well as assist in model performance optimization. Contribute to system performance, stability, and reliability improvements, driving engineering optimizations such as inference efficiency and resource utilization. Participate in the design and implementation of AI solutions for business scenarios, including but not limited to Agent, RAG, and AIGC applications. Collaborate with product, algorithm, and engineering teams to drive the adoption and iteration of AI capabilities in real-world business contexts. Requirements 1. Basic Requirements Currently pursuing a Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related field. Available to intern at least 3 days per week; internship duration of 6 months or more is preferred. 2. Technical Skills (Core Requirements) Solid programming fundamentals with proficiency in Python (required) and good coding practices. Basic understanding of backend development (API design, service development, etc.). Familiarity with at least one deep learning framework (PyTorch / TensorFlow). Basic understanding of large language models (LLMs), such as Transformer architecture, fine-tuning, and inference pipelines. 3. Bonus Skills (Strongly Preferred) Experience or knowledge in Prompt Engineering / RAG / Agent. Experience with model evaluation (benchmarks, automated assessment). Familiarity with frameworks such as LangChain / LlamaIndex / Dify / Coze is a plus. Prior project experience in AIGC, dialogue systems, or intelligent agents is a plus. Familiarity with Linux environments and basic debugging skills. Knowledge of Docker / Kubernetes / distributed systems is a plus. Some understanding of system performance optimization (latency, throughput, resource utilization).