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WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: A seasoned ML Engineer to Architect Machine learning Models for Generative AI related research THE PERSON: The ideal candidate should be passionate about Generative AI and Neural Networks and its application in graphics technology, skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. Applied Research and Engineering team is looking for the following KEY RESPONSIBILITIES: Proficiency in machine learning and Artificial Intelligence especually around model architecture General software development workflow knowledge: git, cmake, CI, etc Expert programming skills in Python, C and/or C++ Expertise in Machine Learning techniques and its application within graphics Proficient in English. PREFERRED EXPERIENCE: Strong object-oriented programming background Understanding model distillation Understanding image upscaling Understanding of 3D graphics and Ray tracing Ability to write high quality code with a keen attention to detail Experience with modern concurrent programming and threading APIs Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plus Effective communication and problem-solving skills Motivating leader with good interpersonal skills Experience in coding with AI tools and agents ACADEMIC CREDENTIALS: Master's degree or PhD in Computer Science especially Machine Learning, Generative AI, Computer Engineering, or equivalent
Job Responsibility
Proficiency in machine learning and Artificial Intelligence especially around model architecture
General software development workflow knowledge: git, cmake, CI, etc
Expert programming skills in Python, C and/or C++
Expertise in Machine Learning techniques and its application within graphics
Proficient in English.
Requirements
Proficiency in machine learning and Artificial Intelligence especially around model architecture
General software development workflow knowledge: git, cmake, CI, etc
Expert programming skills in Python, C and/or C++
Expertise in Machine Learning techniques and its application within graphics
Proficient in English.
Nice to have
Strong object-oriented programming background
Understanding model distillation
Understanding image upscaling
Understanding of 3D graphics and Ray tracing
Ability to write high quality code with a keen attention to detail
Experience with modern concurrent programming and threading APIs
Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers
Effective communication and problem-solving skills