Al Engineer, Large Language Model
Job Description
Job Description:
- Contributions to the research and implementation of pre-training and alignment algorithms include ultra-large-scale multilingual pre-training technology, Mixture-of-Experts model training, Instruction Pretraining, SFT, and RLHF.
- Contribute to the explanation and safety improvement of AI, especially in trustworthy Large language models.
- Follow the frontier technologies and make comparisons about the advanced technologies to apply in business scenarios.
- Conduct experiments to test the performance of different AI models, identifying areas for improvement and exploring new directions for enhancement.
- Work collaboratively in a team environment, applying expertise in statistics, scripting, and relevant programming languages.
Requirements:
- Doctorate degree in Computer Science, Information Technology, Programming & Systems Analysis, or other related disciplines
- Excellent coding skills, data structure and basic algorithm skills, proficiency in Python/Pytorch coding.
- Minimum 1 year of research experience in basic principles and training methods of industry-leading LLM (such as GPT, LLaMA).
- Have research experience in text generation or dialogue systems
- Excellent problem analysis and solving skills, able to deeply solve problems in large model training and application.
- Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.
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