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As an AMD intern, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next. AMD is at the forefront of semiconductors and computing technologies, empowering individuals and businesses to create innovative digital solutions. As an AI Intern, you will be an essential part of our AI research and development team, working on cutting-edge projects and initiatives that drive our company's vision. You will collaborate with Silicon Design Verification Engineers and ML/AI deployment team, enhancing your AI/ML skills and knowledge while contributing to the continuous improvement of AMD's products and services.
Job Responsibility:
Assist in the development and implementation of machine learning and artificial intelligence algorithms, models, and systems
Conduct thorough research on the latest ML/AI developments and analyze their applications in solving real-world problems
Collaborate with cross-functional teams of engineers, data scientists, and researchers to optimize existing ML/AI models and develop innovative solutions
Test, evaluate, and improve the performance of ML/AI solutions, ensuring their reliability and scalability
Assist in preparing technical documentation, research papers, and presentations that showcase research findings and project outcomes
Attend project meetings, providing insights and sharing knowledge with team members
Contribute to the continuous improvement of internal AI/ML processes, tools, and methodologies
Stay up-to-date with industry trends, advancements, and best practices in ML/AI
Requirements:
Currently enrolled in a Romanian-based university Bachelor's or Master’s degree in Computer Science, Engineering, Math, Statistics or related discipline with a focus on Machine Learning and/or Artificial Intelligence
Experience with programming languages like Python, C++, or Java, and tools such as TensorFlow, PyTorch, or Keras
Knowledge of machine learning techniques, such as supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing
Familiarity with data manipulation, visualization, and statistical analysis tools, such as Pandas, NumPy, and Matplotlib
Strong problem-solving skills, attention to detail, and the ability to work independently as well as collaboratively in a team environment
Excellent verbal and written communication skills, demonstrating the ability to communicate complex concepts effectively
Curiosity, creativity, and a strong desire to learn and stay up-to-date with the latest AI/ML technologies
Good written and verbal English
Nice to have:
Experience with LLM fine-tuning, LLM benchmarking, and RAG-based GenAI tools
Familiarity with hardware-software co-design and architecture for ML/AI applications
Prior involvement in ML/AI projects or research, ideally with a published paper or recognitions