As a Generative AI Engineer Intern, you will work on groundbreaking AI projects, leveraging state-of-the-art tools and models to solve real-world challenges.
What Youll Do
Learn and experiment with cutting-edge Generative AI models, including GPT-4, PaLM, and Stable Diffusion, to create transformative applications.
Assist in developing innovative AI solutions blending language, vision, and audio.
Explore transformer architectures and contribute to optimizing them for impactful applications.
Gain experience in prompt engineering and few-shot learning to unlock the potential of large language models.
Support the team in building scalable inference systems for real-world applications.
Collaborate on research initiatives and contribute to new techniques in controllable generation and multi-modal AI systems.
Technical Requirements
Were looking for motivated individuals eager to learn and grow in the field of AI. The ideal candidate should have:
Basic familiarity with Generative AI models (e.g., GPT-4, Stable Diffusion).
Understanding of foundational AI concepts, including transformers and attention mechanisms.
Interest in prompt engineering and few-shot learning techniques.
Familiarity with programming languages like Python and frameworks like PyTorch or TensorFlow.
Exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
Strong problem-solving skills and a keen interest in AI research.