AMD is looking to solve the business and technical problem of developing and deploying large foundation models across various domains, including natural language, computer vision, and multimodal data, to accelerate next-generation computing experiences.
Requirements
- Experience with the latest state-of-the-art foundation models—especially in the areas of LLMs and vision—is essential.
- Deep knowledge in model alignment, fine-tuning, and current research trends is also required.
- Hands-on expertise in training large language models at scale.
- Deep technical expertise in natural language processing and generative AI.
- A strong publication record in top-tier conferences and journals related to machine learning.
- Proven experience leading a research team in machine learning or a related field.
Responsibilities
- Set the vision and strategy for developing large foundation models across various domains, such as natural language, computer vision, and multimodal data.
- Lead a team of researchers and engineers working on cutting-edge techniques for training, fine-tuning, evaluating, and deploying large foundation models at scale.
- Collaborate with cross-functional teams and stakeholders to identify opportunities and enhance the platforms and infrastructure supporting large-scale model development.
- Communicate the results, capabilities, and impact of foundation models and AI to both internal and external audiences.
- Establish best practices and standards to ensure the quality, reliability, fairness, and ethical use of AI and large foundation models.
- Experience with the latest state-of-the-art foundation models—especially in the areas of LLMs and vision—is essential.
- Deep knowledge in model alignment, fine-tuning, and current research trends is also required.
Other
- Proven track record of building and leading a world-class research and engineering team focused on LLMs and foundation models, with a strong publication record in top-tier research venues.
- Exceptional leadership skills and the ability to work collaboratively with cross-functional teams and customers.
- Excellent communication skills—written, verbal, and presentation.
- A demonstrated ability to mentor, coach, and inspire a diverse and talented team of researchers and engineers.
- A PhD (or a master’s degree with equivalent experience) in artificial intelligence, machine learning, computer science, or a related field.
