promote the application of industry-leading video representation models and large-scale vector retrieval technologies at the business level, and overcome engineering problems during the implementation process.
3. Abstract and enrich the multi-modal vector computing components, optimize the model inference performance of vector computing, enhance the stability, performance, and scalability of the system, and strengthen platform-wide integration.
Qualifications
Minimum Qualifications:
- Bachelor's Degree in Computer Science or related fields
- Have solid programming skills and basic computer knowledge, be familiar with Python/C++, have excellent design and coding styles, and possess strong abilities to solve practical problems.
- Have good communication and collaboration skills, be enthusiastic about solving challenging problems, and be able to explore new technologies with the team to promote technological development.
Preferred Qualification:
- Have development experience related to recommendation, search, and advertising. Have experience in recall and ranking systems.
- Have basic machine learning knowledge, be familiar with mainstream machine learning frameworks (PyTorch/TensorFlow). Have experience in high-performance computing or CUDA development.