At AMD, the business problem is to accelerate next-generation computing experiences and push the boundaries of what's possible with generative AI, making cutting-edge knowledge accessible to developers everywhere.
Requirements
- Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Demonstrated experience with LLMs/transformer architectures.
- Proven ability to simplify and communicate complex technical concepts through engaging content or presentations.
- Experience creating content (e.g. course materials, technical tutorials, or keynote talks) that prioritize clarity and simplicity.
- Strong visual and UX sensibility, with an eye for content that is both informative and shareable.
- Contributions to open-source projects, research publications, or internal technical blogs.
- Portfolio of engaging content (any format) to point to.
Responsibilities
- Research, prototype, and implement cutting-edge techniques in generative AI, e.g. speculative decoding, reasoning post-training, the latest RL methods, etc.
- Translate advanced AI concepts into clear, engaging educational content, including course modules, technical explainers, and keynote-style presentations.
- Collaborate with AI engineers, researchers, and educators to ensure technical accuracy and pedagogical clarity.
- Track record of designing visually compelling, shareable content with a strong sense of storytelling to maximize reach and impact.
- Stay current with the latest research in LLMs, decoding strategies, and model efficiency, and contribute to internal knowledge sharing.
Other
- Advanced degree (MS or PhD preferred but not required) in Computer Science, Machine Learning, Applied Mathematics, or a related field.
- Experience working in cross-functional teams, especially in fast-paced environments.
- Ability to work with a team that's as passionate as you are
- Strong sense of storytelling to maximize reach and impact
- Ability to simplify and communicate complex technical concepts through engaging content or presentations