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Binance Accelerator Program - LLM Model Training & Data Processing

21 hours, 25 minutes ago
Australia, Asia, United Arab Emirates, Taiwan, Hong Kong
Internship
Entry Level
AI Engineer
Data Science and Analytics
Deep Learning LLM Machine 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 229

Description

  • Assist in training, fine-tuning, and evaluating large language models using public and in-house datasets.
  • Support the development and optimization of AI agents, including prompt engineering, memory modules, planning strategies, and external tool integration.
  • Design, implement, and manage data annotation pipelines, including schema definition, labeling guidelines, and quality control processes.
  • Work closely with research and engineering teams to improve model performance, scalability, and robustness.
  • Conduct experiments, analyze data, and document methodologies and findings clearly.
  • Explore and test new tools, frameworks, and best practices to enhance LLM systems and AI agent capabilities.

Requirements

  • Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline; a PhD is a bonus.
  • Solid understanding of machine learning and deep learning fundamentals.
  • Familiarity with transformer models, LLMs such as LLaMA or Qwen, or related technologies is a strong plus.
  • Experience or interest in prompt engineering, fine-tuning methods such as LoRA or QLoRA, and model evaluation techniques.
  • Basic knowledge of data annotation workflows and labeling tools.
  • Strong analytical and problem-solving skills, with the ability to work independently and collaboratively.
  • Fluency in English is required to coordinate with overseas partners and stakeholders.
  • Additional languages are an advantage.
  • Current university students and recent graduates may apply.

Benefits

  • Competitive salary and company benefits.
  • Work-from-home arrangement, depending on the nature of the business team.
  • Opportunity to work with world-class talent in a global organization with a flat structure.
  • Autonomy to tackle unique, fast-paced projects in an innovative environment.
  • Career growth and continuous learning opportunities.
  • Networking and development opportunities through the 3-6 month Accelerator Program.
  • Equal opportunity employer with a commitment to a diverse workforce.

Interested in this position?

Apply directly on the company website

Apply Now

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