Algorithm Engineer

Duties:

1. Re-execute and verify the top conference papers, and promote algorithm continuous improvement.

2. Build a high-performance distributed training and inference framework to reduce costs and improve efficiency.

3. Lead the full cycle training, fine-tuning, evaluation and deployment of large-scale language models LLM.

4. Develop digital human lip synchronization, expression/action generation, and real-time driving technology.

5. Deeply collaborate on product, engineering, and operations, and close the loop to meet AI needs.

Requirements:

1. Computer or mathematics master's degree or above, with at least two years of natural language processing or visual algorithm optimization experience.

3. Familiar with LLM training and fine-tuning, and familiar with mainstream architectures such as BERT/GPT.

4. Candidates with digital human, virtual image or related generative project landing experience are preferred.

5. Fluent in English reading, strong cross-team communication and collaboration skills.