2026 Undergraduate Machine Learning / Artificial Intelligence Engineering Co-Op / Intern

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. As an AMD ML / AI intern / co-op, 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. JOB DETAILS : Location : San Jose, CA or Santa Clara, CA Onsite / Hybrid : This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op / intern term Duration : Spring / Summer Co-op : January 26, 2026 - August 7, 2026 Summer / Fall Co-op : May 18, 2026 - December 11, 2026 or June 22, 2026 - December 11, 2026 Spring Internship : January 26, 2026 – May 1, 2026 Summer Internship : May 18, 2026 - August 7, 2026 or June 22, 2026 – September 11, 2026 Fall Internship : September 14, 2026 – December 11, 2026 WHAT YOU WILL BE DOING : We are seeking a highly motivated Machine Learning (ML) / Artificial Intelligence (AI) intern / co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML / AI engineers. In this role – We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences We may assign you to one or more of the following project work - Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products Fixing and addressing problems with deployed AI to improve user experience Support AI software teams with roadmap planning, collateral development, and customer engagements WHO WE ARE LOOKING FOR : You are currently enrolled in a US based University in a bachelor's degree program majoring in computer science, computer engineering, data science / analytics, or a related field If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply – Machine learning, data science, computer vision, statistics, and mathematics Programming in Python, C / C++ Relational (SQL) and no-SQL databases Machine learning algorithms and frameworks Deep learning / AI framework like Pytorch, Tensorflow, Caffe. Familiarity with cloud (e.g., AWS, GCP, Azure) Note : By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you. Benefits offered are described : AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. 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. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.As an AMD ML / AI intern / co-op, 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. JOB DETAILS : Location : San Jose, CA or Santa Clara, CA Onsite / Hybrid : This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op / intern term Duration : Spring / Summer Co-op : January 26, 2026 - August 7, 2026 Summer / Fall Co-op : May 18, 2026 - December 11, 2026 or June 22, 2026 - December 11, 2026 Spring Internship : January 26, 2026 – May 1, 2026 Summer Internship : May 18, 2026 - August 7, 2026 or June 22, 2026 – September 11, 2026 Fall Internship : September 14, 2026 – December 11, 2026 WHAT YOU WILL BE DOING : We are seeking a highly motivated Machine Learning (ML) / Artificial Intelligence (AI) intern / co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML / AI engineers. In this role – We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences We may assign you to one or more of the following project work - Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products Fixing and addressing problems with deployed AI to improve user experience Support AI software teams with roadmap planning, collateral development, and customer engagements WHO WE ARE LOOKING FOR : You are currently enrolled in a US based University in a bachelor's degree program majoring in computer science, computer engineering, data science / analytics, or a related field If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply – Machine learning, data science, computer vision, statistics, and mathematics Programming in Python, C / C++ Relational (SQL) and no-SQL databases Machine learning algorithms and frameworks Deep learning / AI framework like Pytorch, Tensorflow, Caffe. Familiarity with cloud (e.g., AWS, GCP, Azure) Note : By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.

Benefits offered are described : AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. 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. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.