AMD is looking to build great products that accelerate next-generation computing experiences, with a focus on AI and Large Language Models (LLMs). They need a Director of AI to lead their Modeling team, specifically focusing on Generative AI and LLMs, to drive innovation and develop cutting-edge AI solutions.
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.
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.
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.
- Proven experience leading a research team in machine learning or a related field.
- 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.
