We are seeking a motivated and creative generative AI intern to join our team. The intern will work closely with our AI research and development team to explore and develop synthetic data pipelines using state-of-the-art generative AI models, including Stable Diffusion and ComfyUI. This is an excellent opportunity to gain hands-on experience with advanced AI technologies and contribute to real-world projects.
1. Assist in the development and optimization of generative AI models, particularly Stable Diffusion and ComfyUI.
2. Design and implement synthetic data pipelines to support various machine learning and AI projects.
3. Collaborate with the AI research team to experiment with and fine-tune model parameters for improved performance.
4. Conduct research on the latest advancements in generative AI and apply relevant findings to ongoing projects.
5. Document the development process, experimental results, and best practices for future reference.
6. Participate in team meetings and brainstorming sessions, and present findings to the team.
Requirements:
1. Currently pursuing a degree in computer science, artificial intelligence, data science, or a related field.
2. Strong understanding of machine learning principles and generative AI techniques.
3. Experience with Python and popular AI frameworks (e.g., TensorFlow, PyTorch).
4. Familiarity with Stable Diffusion, ComfyUI, or similar generative models is highly desirable.
5. Excellent problem-solving skills and the ability to work independently and as part of a team.
6. Strong written and verbal communication skills.
Skill(s) required
Deep LearningMachine LearningNatural Language Processing (NLP)Python