Binance Accelerator Program - LLM Model Training & Data Processing

2 hours, 7 minutes ago
Internship
Entry Level
Data Science and Analytics
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

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 for improving 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.
  • 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 and 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.

Benefits

  • Competitive salary and company benefits.
  • Work-from-home arrangement, depending on the work nature of the business team.
  • Opportunity to collaborate with world-class talent in a global organization with a flat structure.
  • Exposure to a fixed-term early-career accelerator program with networking and development opportunities.
  • Opportunities for career growth and continuous learning.
  • Chance to work on fast-paced, high-autonomy projects in an innovative environment.

Interested in this position?

Apply directly on the company website

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