Responsible for the research and development and application of the company's large model, research on new applications and solutions in the fields of search, recommendation, advertising, creation, dialogue and customer service, to meet the growing intelligent interaction needs of users, and comprehensively improve the life and communication mode of users in the future world. The main work directions include:
1. Exploring ultra-large scale models and conducting extreme system optimization;
2. Data infrastructure building, fine-tuning instructions, preference alignment, and model optimization;
3. Implementing relevant applications, such as generative content creation, logical reasoning, and code generation;
4. Study and explore more use scenarios in future life.

1. Bachelor's degree or above in Computer Science, Software Engineering, or related majors;
2. Possess outstanding coding skills, a solid foundation in data structures and basic algorithms, and fluency in either C/C++ or Python; winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, or Kaggle are preferred;
3. Familiar with NLP, CV related algorithms and technologies, familiar with large model training, RL algorithm is preferred;
4. Preference given to those who have led projects or published papers with significant impact in the large model domain;
5. Demonstrated exceptional problem-solving abilities and the capacity to tackle complex issues arising from large model training and applications;
6. Excellent communication and collaboration skills, able to work with the team in exploring new technologies and driving technological advancements.

• Interested parties please send your full resume with the position to
• recruit-hk@microware1985.com (Hong Kong) 
• recruit-sh@microware1985.com (Shanghai) 

• All personal data will be used for recruitment purpose only. 
• Applicants who are not invited for an interview within 8 weeks may consider their applications unsuccessful.
• The company will retain unsuccessful applicants’ information for not more than 12 months.