Research Scientist/Engineer, Large Language Model - 2025 Start

Responsibilities

1. Skilled in discovering simple and universal ideas for optimizing large models and applying them to models of various scales to improve performance.
2. Explore the boundaries of large-scale models and perform extreme system optimization to improve model performance and efficiency.
3. Promote the work of data establishment, instruction fine-tuning, preference alignment, and model optimization to improve the quality and adaptability of the model.
4. Relevant application landing, including generation creation, logical reasoning, code generation, etc.
5. Conduct in-depth research and explore more usage scenarios of the model in future life, and expand the application scope of the model.

Qualifications

Minimum Qualifications

1. Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.
2. Proficient in coding ability, familiar with data structure and basic algorithm foundation, skilled in C/C++ or Python.
3. Familiar with algorithms and technologies related to NLP and CV, with a good research record in the relevant field.
4. Excellent problem analysis and problem-solving skills, able to deeply solve problems existing in large-scale model training and application.
5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms.
2. In the field of large models, those who lead projects or papers with too much influence are preferred.

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