Summer 2027 Long Term Machine Learning/Artificial Intelligence Intern/Co-Op
AMD
- Location
- MARKHAM, Canada
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- Posted
- 3h ago
Skills
About this role
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them. AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward. 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.
JOB DETAILS
Location: Markham, Ontario, Canada Onsite/Hybrid: This role requires the student to work full time 37.5 hrs a week, either in a hybrid or onsite work structure throughout the duration of the co-op/intern term. Duration: 12 Months: May 03, 2027 to April 21, 2028 16 Months: May 03, 2027 to August 18, 2028 WHAT YOU WILL BE DOING: We are seeking 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: Currently enrolled in a Canada based University in a Bachelor's degree program majoring in Computer Science, Computer Engineering, Data Science/Analytics, or a related field, preferably in your 3rd or 4th year of education. 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, etc. Familiarity with cloud (e.g., AWS, GCP, Azure) is a plus 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. AMD may use