about 6 hours ago
Sydney, Australia +4 moreIntern / Entry Level
Responsibilities
- Assist in training and evaluating Large Language Models (LLMs) using various datasets.
- Support the development and optimization of AI agents and their integration with external tools.
- Design and manage data annotation pipelines, including quality control processes.
- Collaborate with research and engineering teams to improve model performance.
- Conduct experiments and document methodologies and findings.
- Explore new tools and best practices for enhancing LLM systems.
Requirements
- Currently pursuing or recently completed a Degree in Computer Science, AI, Electrical Engineering, or related fields; PhD is a bonus.
- Solid understanding of machine learning and deep learning fundamentals.
- Familiarity with transformer models and LLMs is a strong plus.
- Experience or interest in prompt engineering and model evaluation techniques.
- Basic knowledge of data annotation workflows and labeling tools.
- Strong analytical and problem-solving skills; able to work independently and collaboratively.
- Fluency in English; additional languages are an advantage.
Benefits
- Shape the future with the world’s leading blockchain ecosystem.
- Collaborate with world-class talent in a user-centric organization.
- Tackle unique projects with autonomy in an innovative environment.
- Opportunities for career growth and continuous learning.
- Competitive salary and company benefits.
- Work-from-home arrangement may vary depending on team needs.
Categories
AI & MLData Science