Research Assistant - AI Algorithm Engineer
Job Responsibilities:
Responsibility Description：
1. Be responsible for the research and development of multi - modal large - scale model technologies, covering the fields of natural language processing, image recognition and audio processing, with a focus on application scenarios such as environmental perception and sentiment analysis.
2. Conduct data cleaning and data pre - processing work to ensure high - quality training data.
3. Prune and compress the trained models to improve the deployment efficiency and performance of the models and optimize their performance in practical applications.
4. Participate in the team's technical planning and project management, assist in formulating the technical roadmap, promote technological innovation, and continuously explore new technical directions and application areas.
5. Be responsible for writing technical documents and research reports, regularly share research results, and promote technical exchanges and knowledge accumulation.
6. Collaborate closely with cross - functional teams to ensure the implementation and productization of technical solutions and provide technical support for the continuous optimization of products.
Qualification Requirements：
1. Master's degree in computer science, artificial intelligence, automation or related fields, with a solid theoretical foundation and practical experience.
2. Be proficient in the Python programming language and be familiar with mainstream deep - learning frameworks such as PyTorch, and be able to efficiently implement complex algorithms.
3. Have an in - depth understanding of machine learning and deep - learning, be familiar with technologies such as supervised learning, unsupervised learning and federated learning, and those with practical project experience are preferred.
4. Have an in - depth understanding of models such as Transformer, BERT and GPT, and be able to perform model fine - tuning and optimization.
5. Be familiar with common cameras and audio devices, and be able to process and analyze multi - modal data (such as text, image, audio) from sensors.
6. Have experience in distributed machine learning and large - scale model training, and be able to meet the technical challenges in complex computing environments.
7. There is no requirement for work experience. Fresh graduates and experienced professionals are welcome to apply.
8. Be able to read and understand English papers in relevant fields, and have the ability to write research reports and technical documents.
9. Have a good team - working spirit, excellent communication skills and the ability to solve problems independently, and be able to work efficiently in a multi - task environment.
