onsite
AI Scientist
AI Scientist
The AI Scientist will integrate products with GPT or other large language models, developing and implementing AI algorithms to enhance project features. Responsibilities include fine-tuning large language models, guiding research, and optimizing model performance through data analysis and collaboration.
About the role
Job Description
We are seeking a highly skilled and experienced AI Scientist/Engineer to join our team to help integrate our product with GPT or other large language models. The successful candidate will be responsible for developing and implementing AI algorithms and models to enhance various features of our projects.
Job Responsibilities
- Work closely with product teams to understand their requirements and design AI-based solutions to enhance our products.
- Responsible for fine-tuning large language models to improve their performance on specific tasks and to innovate based on large models.
- Responsible for guiding the team's research direction and engineering implementation.
- Design and implement fine-tuning algorithms, adjust hyperparameters, and optimize model performance.
- Preprocess and analyze data during the fine-tuning process to ensure dataset quality and applicability.
- Evaluate and analyze fine-tuning results, adjust models to improve their performance.
- Collaborate with team members, guide other members, and ensure smooth fine-tuning process and high-quality results.
- Deeply understand the latest large language model technology and applications, and continuously improve fine-tuning skills and knowledge.
Job Requirements
- M.S or Ph.D in Computer Science, Artificial Intelligence, or related field.
- Bilingual, fluent in Chinese and English is a plus (as candidates need to liaise with Chinese/Mandarin speaking counterparts in China for job purposes).
- Proven experience in developing and implementing AI algorithms and models for natural language processing, machine learning, deep learning and related fields are preferred.
- Familiar with deep learning frameworks (such as TensorFlow, PyTorch, etc.) and commonly used model evaluation and tuning, performance acceleration techniques, familiar with commonly used AI generation model frameworks, including GAN, VAE, VQGAN/Diffusion, etc.
- Strong programming skills in Python, Java, or other relevant programming languages.
- Experience with GPT or other large language models.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication and interpersonal skills.