Binance Accelerator Program - LLM Model Training & Data Processing

Taipei, Taiwan
Full time
Hybrid
Compensation is not specified
Role
Machine Learning Engineer
Description

Binance is a prominent global blockchain firm and the force behind the largest digital asset exchange worldwide, dedicated to furthering cryptocurrency adoption and fostering financial freedom.

Are you eager to join a highly influential company in the blockchain sector and contribute to the global crypto-currency movement reshaping the world?

About Binance Accelerator Program:

The Binance Accelerator Program offers a structured, time-bound initiative for Early Career Talent aiming to gain hands-on exposure in the fast-evolving Web3 realm. This program offers a comprehensive experience within Binance, offering insights into the inner workings of the leading blockchain ecosystem. The program emphasizes networking and skill enhancement, enabling participants to expand their professional contacts and acquire transferable skills crucial for career advancement.

Who Should Apply:

Ideal candidates include current university students and recent graduates.

Responsibilities:

  • Aid in the training, refining, and assessment of Large Language Models (LLMs) by leveraging public and proprietary datasets.
  • Provide support for the enhancement and optimization of AI agents, involving tasks like prompt engineering, memory modules, planning strategies, and integration with external tools.
  • Develop, implement, and oversee data annotation pipelines, encompassing tasks such as schema definition, labeling guidelines, and quality control procedures.
  • Collaborate closely with research and engineering teams to enhance model performance, scalability, and robustness.
  • Execute experiments, conduct data analysis, and meticulously document methodologies and outcomes.
  • Explore and evaluate new tools, frameworks, and industry best practices for bolstering LLM systems and AI agent capabilities.

Requirements:

  • Currently pursuing or having recently obtained a degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.
  • Proficient grasp of machine learning and deep learning fundamentals.
  • Familiarity with transformer models, LLMs (e.g., LLaMA, Qwen), or related technologies is advantageous.
  • Previous experience or keen interest in prompt engineering, fine-tuning methods (e.g., LoRA, QLoRA), and model assessment techniques.
  • Basic understanding of data annotation workflows and labeling tools.
  • Strong analytical and problem-solving skills, capable of collaborating both independently and in a team setting.
  • Fluency in English is mandatory to facilitate coordination with international partners and stakeholders. Knowledge of additional languages is a plus.

Why Binance:

  • Contribute to shaping the future within the global leading blockchain ecosystem.
  • Collaborate with top-tier professionals in a user-centric international organization with a flat hierarchy.
  • Engage in distinctive and fast-paced projects autonomously within an innovative setting.
  • Excel in a results-driven environment that offers avenues for career progression and continual learning.
  • Competitive salary and company benefits.
  • Enjoy a work-from-home arrangement based on the nature of the business team's tasks.

Binance is dedicated to being an equal opportunity employer, recognizing the importance of a diverse workforce in achieving success. By submitting a job application, you acknowledge having read and agreeing to our Candidate Privacy Notice.

Skills Required
Avatar
Binance
Website
Not specified
Company size
Not specified
Location
United States
Description
Not specified

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