Summary
The job is a research position focusing on developing large-scale models for various applications in search, recommendation, advertising, content creation, and customer service. The role involves exploring new applications, data construction, model optimization, application implementation, collaborating with cross-functional teams, and researching future usage scenarios.
Requirements
- Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python
- Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning
Responsibilities
- Exploring and developing large-scale language models and optimizing enterprise applications to the extreme
- Data construction, instruction tuning, preference alignment, and model optimization
- Implementation of relevant applications, including content generation, reasoning, code generation, etc
- Collaborating with cross-functional teams to produce and apply new science to more responsibly develop and deploy large language models
- In-depth research and exploration of more usage scenarios in future life
Preferred Qualifications
- Familiar with NLP, CV-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred
- Winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred
