About us:
SuperAGI is pioneering the future of Artificial General Intelligence with groundbreaking research and innovative AI products. Our mission is to transform the future of applications through intelligent, autonomous solutions that drive unparalleled efficiency and growth. We are building a world where AI and human intelligence collaborate seamlessly to achieve extraordinary outcomes. If you are passionate about AI and eager to be part of a team that is shaping the future, SuperAGI is the place for you.
Role Description:
As an AI Research Intern at SuperAGI, you will be a key player in pioneering research and development in Deep Learning. Your role will revolve around designing, implementing, and optimizing AI agents, particularly in the context of multimodal applications.
Key Responsibilities:
- Design and implement advanced deep learning models, focusing on emerging architectures like vision-transformers, state space models.
- Research and develop innovative solutions in multimodal AI, integrating techniques from NLP, computer vision, and other AI disciplines.
- Fine-tune and optimize deep learning models for various applications, ensuring efficiency and scalability.
- Contribute to the development and benchmarking of open-source LLMs.
- Collaborate in cross-functional teams to apply deep learning models to real-world problems.
- Stay abreast of the latest developments in AI, deep learning, and related technologies.
Basic Qualifications:
- Master's in Computer Science, AI, Machine Learning, or a related field.
- Bachelors in Computer Science, who have published AI research papers are also eligible.
- Prior practical experience in deep learning, LLM Pre-Training, Fine Tuning.
- Proven track record of implementing Deep Neural Networks for complex tasks.
- Experience with open-source LLMs, including fine-tuning and optimization.
- Proficiency in Python and familiarity with AI/ML development tools and libraries.
Preferred Qualifications:
- Published research or contributions to major AI/ML conferences or journals.
- Experience with large-scale data processing and cloud computing environments.
- Knowledge of advanced deep learning techniques and their applications.
- Excellent problem-solving skills and a passion for innovative research.
