Research Scientist - Seed Model, LLM

The Seed LLM team is dedicated to advancing the next generation of LLMs and solving fundamental challenges in LLM development. Our areas of focus include model pretraining, posttraining, inference, memory capabilities, learning, interpretability and other related directions. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we explore methods to enhance applications through technological innovation. The main job directions include: - Explore large-scale models and optimize systems; - Data construction, instruction tuning, preference alignment, and model optimization; - Improving relevant model capabilities, such as reasoning, code, math etc; - In-depth research and exploration of future use cases; Minimum Qualifications - Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python; - Excellent problem analysis and solving skills, able to solve problems in large-scale model training and application; - Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress. Preferred Qualifications: - Experience with large-scale model training, deep learning and machine learning algorithms is preferred; - Candidates who have led influential projects or papers in the field of large-scale models are preferred;