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Binance Accelerator Program - LLM Recommendation & Agentic AI Engineer

11 hours, 6 minutes ago
Asia, Taiwan, Hong Kong
Internship
Entry Level
AI Engineer
Artificial Intelligence and Machine Learning
Blockchain LLM Machine Learning NLP Python PyTorch Reinforcement Learning
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
5K-10K
Founded 2017
$10M raised
View All Jobs 248

Description

  • Design and develop LLM-powered recommendation and personalization systems for financial and Web3 scenarios.
  • Build agentic AI systems that use internal data, APIs, tools, and domain-specific capabilities to complete complex financial and trading tasks.
  • Develop tool routing, tool retrieval, planning, and multi-step reasoning mechanisms for LLM agents.
  • Perform post-training of large language models using SFT, preference optimization, reinforcement learning, and related techniques.
  • Build and maintain training and evaluation datasets, benchmarks, and evaluation pipelines for recommendation and agentic systems.
  • Prototype and iterate on LLM and agent workflows across retrieval, recommendation, planning, execution, verification, memory, and feedback loops.
  • Explore small and specialized language models for latency-sensitive routing, recommendation, classification, and reranking tasks.
  • Collaborate with senior engineers, researchers, product teams, and domain experts on design, experimentation, integration, deployment, and optimization.

Requirements

  • Current university student or recent graduate.
  • Strong foundation in machine learning, NLP, information retrieval, recommendation systems, or large language models.
  • Hands-on experience in at least one area: LLMs and post-training, recommendation systems/ranking/retrieval, LLM agents and tool-use systems, RAG, or reinforcement learning/preference optimization.
  • Familiarity with modern LLM techniques such as SFT, RL, DPO/GRPO-style optimization, prompt engineering, structured generation, function/tool calling, and model evaluation.
  • Good understanding of recommendation or search techniques such as embedding-based retrieval, learning-to-rank, reranking, personalization, user modeling, or generative recommendation.
  • Strong programming skills in Python and experience with deep learning frameworks such as PyTorch.
  • Ability to run experiments independently, analyze model/system performance, and turn research ideas into production solutions.
  • Experience building production-scale recommendation, search, or LLM systems is preferred.
  • Experience with agent frameworks, tool routing, multi-agent systems, memory systems, or long-horizon agent workflows is preferred.
  • Experience with LLM inference and serving frameworks such as vLLM, SGLang, or TensorRT-LLM is preferred.
  • Familiarity with Web3, cryptocurrency, financial markets, or trading systems is preferred.
  • Experience with large-scale datasets, distributed training, model serving, or high-throughput online systems is preferred.
  • Publications, open-source contributions, or practical projects related to LLMs, recommendation systems, agents, search, or reinforcement learning are a plus.

Benefits

  • Competitive salary and company benefits.
  • Work-from-home arrangement, depending on the business team and work nature.
  • Opportunity to work with world-class talent in a global, user-centric organization.
  • Autonomy on unique, fast-paced projects in an innovative environment.
  • Career growth opportunities and continuous learning.
  • Networking and development opportunities through the Binance Accelerator Program.
  • Inclusive and diverse workplace culture.

Interested in this position?

Apply directly on the company website

Apply Now

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