The opportunity
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed,…
What you'll do
Assist in the training, fine-tuning, and evaluation of Large Language Models: (LLMs) using public and in-house datasets.
Support the development and optimization of AI agents, including prompt: engineering, memory modules, planning strategies, and integration with external tools.
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, perform data analysis, and clearly document methodologies and findings.
Explore and test new tools, frameworks, and best practices for enhancing LLM: systems and AI agent capabilities.
What they're looking for
- Currently pursuing or recently completed a Degree in Computer Science,: Artificial Intelligence, Electrical Engineering, or a related discipline. PHD is Bonus.
- Solid understanding of machine learning and deep learning fundamentals.
- Familiarity with transformer models, LLMs (e.g., LLaMA, Qwen), or related technologies is a strong plus.
- Experience or interest in prompt engineering, fine-tuning methods (e.g.,: LoRA, QLoRA), and model evaluation techniques.
- Basic knowledge of data annotation workflows and labeling tools.
- Strong analytical and problem-solving skills; able to work both independently and collaboratively.
- Fluency in English is required to be able to coordinate with overseas: partners and stakeholders. Additional languages would be an advantage.
