Job Responsibilities:
1. Responsible for the development and optimization of large-scale language models and multimodal models, improving model performance and efficiency.
2. Deeply involved in algorithm design, debugging and deployment, ensure the stability and accuracy of the model in practical application scenarios.
4. Assist in building an efficient model training framework, optimize data processing and computing resource management processes.
5. Collaborate with cross-functional teams to support product development and provide technical guidance, achieving a seamless transition from research to production environment.
Requirements:
1. Have a bachelor's degree or above in Computer Science or related fields, those with deep learning and machine learning backgrounds are preferred.
2. Familiar with mainstream deep learning frameworks (such as TensorFlow, PyTorch, etc.), able to independently complete model building and training.
3. Master the Python programming language, with good coding habits and problem-solving abilities.
4. Have in-depth understanding of natural language processing (NLP) or multimodal technology, those with relevant project experience are preferred.
Benefits:
1. Provide competitive salary and adjust it based on individual skills and performance.
2. Comprehensive insurance plan, including medical, dental and life insurance, to ensure employees’ health and quality of life.
3. Active career development opportunities, regular internal training and technical sharing sessions, and professional growth assistance.
4. Create an open and inclusive work environment, encourage innovative thinking and autonomous learning, and support employees in exploring new technologies.
5. Flexible work hours and paid leave system, balancing work efficiency and personal life.
