Red Hat is looking to improve the accuracy and trustworthiness of AI models through cutting-edge AI model knowledge acquisition techniques.
Requirements
- AI model knowledge acquisition techniques
- data augmentation
- model training
- inference
- knowledge injection methods
- model question answering performance
- machine learning workflows
Responsibilities
- Implementing techniques for data augmentation, model training, and inference
- Conducting experiments to evaluate the impact of knowledge injection methods on model question answering performance
- Collaborate with researchers and engineers to integrate methods into real-world machine learning workflows
- Document your findings and contribute to technical reports, blog posts, or research publications
Other
- Internship
- contribute to research and engineering efforts
- Collaborate with researchers and engineers
- document your findings and contribute to technical reports, blog posts, or research publications
- bring their best ideas, no matter their title or tenure
