✨ About The Role
- The QA Engineer will assess the reliability of AI and Deep Learning models through rigorous QA testing.
- This role involves interacting with state-of-the-art generative AI techniques to create challenging test data for the models.
- The engineer will prepare generated data and compile reports of testing results for further investigation by AI teams.
- The position requires a proactive approach to identifying and addressing potential issues in AI-generated media detection.
- The successful candidate will contribute to ensuring the accuracy and effectiveness of the company's detection solutions.
⚡ Requirements
- A bachelor's degree in Computer Science, Electrical Engineering, or a related field is required for this position.
- Candidates should have experience using image, video, and audio generation platforms such as Midjourney, Stable Diffusion, and ElevenLabs.
- Proficiency in coding with shell scripts and Python is essential, along with a basic understanding of deep learning concepts.
- Strong communication skills and the ability to work independently while interfacing across teams are important traits for success in this role.
- A curious and experimental mindset is necessary for discovering model failure modes and improving testing processes.