Red Hat is looking to improve the accuracy and trustworthiness of AI models through cutting-edge AI model knowledge acquisition techniques
Requirements
- Knowledge of AI model knowledge acquisition techniques
- Experience with data augmentation, model training, and inference
- Familiarity with machine learning workflows
- Programming skills in languages relevant to AI and machine learning
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
- Documenting findings and contributing to technical reports, blog posts, or research publications
Other
- Bachelor's degree or higher in a relevant field
- Ability to work in a flexible environment, including in-office, office-flex, or fully remote
- Strong communication and collaboration skills
- Ability to bring creative ideas and contribute to an open and inclusive environment
- Equal opportunity employer, welcoming applicants from all backgrounds and dimensions
