Binance Accelerator Program - LLM Recommendation & Agentic AI Engineer (Web3)

Location: Asia; work-from-home arrangement may vary depending on the nature of the business team

Company

Binance is a global blockchain ecosystem offering cryptocurrency exchange, digital asset, financial, payments, education, research, and Web3 products.

What you will do

• Design and develop LLM-powered recommendation and personalization systems, including candidate generation, ranking, reranking, intent understanding, and context-aware recommendations.
• Build agentic AI systems using internal data, APIs, tools, and domain-specific capabilities for complex financial and trading tasks.
• Develop tool routing, retrieval, planning, multi-step reasoning, memory, execution, verification, and feedback workflows.
• Perform LLM post-training using SFT, preference optimization, reinforcement learning, and related techniques.
• Build training and evaluation datasets, benchmarks, and pipelines covering relevance, personalization, tool selection, task success, latency, and reliability.
• Prototype, integrate, deploy, and continuously optimize LLM, recommendation, and agent systems in collaboration with engineering, research, product, and domain teams.

Requirements

• Strong foundation in machine learning, NLP, information retrieval, recommendation systems, or large language models.
• Hands-on experience with LLM post-training, recommendation and ranking, LLM agents and tool use, RAG, reinforcement learning, or preference optimization.
• Familiarity with SFT, DPO/GRPO-style optimization, prompt engineering, structured generation, function and tool calling, and model evaluation.
• Understanding of embedding retrieval, learning-to-rank, reranking, personalization, user modeling, or generative recommendation.
• Strong Python programming skills and experience with deep learning frameworks such as PyTorch.
• Current university students and recent graduates may apply; the program lasts 3–6 months and engagement is subject to contract and local laws.

Nice to have

• Production-scale recommendation, search, or LLM systems experience.
• Experience with agent frameworks, tool routing, multi-agent systems, memory systems, or long-horizon workflows.
• Experience with vLLM, SGLang, TensorRT-LLM, distributed training, model serving, or high-throughput systems.
• Familiarity with Web3, cryptocurrency, financial markets, or trading systems.
• Publications, open-source contributions, or practical projects related to LLMs, recommendation systems, agents, search, or reinforcement learning.

Culture & Benefits

• Work in a global, user-centric organization with a flat structure and world-class colleagues.
• Work on fast-paced blockchain, cryptocurrency, financial, and Web3 projects with autonomy.
• Access career growth and continuous learning opportunities.
• Competitive salary and company benefits.
• Work-from-home arrangement, subject to business-team requirements.