AMD is looking to scale its AI education initiatives and accelerate innovation in generative AI by building a team of autonomous contributors who can produce high-quality content and prototypes independently to reach a global developer audience.
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 contributing 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.
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
- Master’s degree preferred; PhD is a strong plus, especially with publications in distributed systems, AI infrastructure, or GPU computing.
- AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.
