2027 Masters Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op
AMD·New York·United States·Machine Learning Engineering
AMD is hiring a 2027 Masters Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op in New York. Posted 2026-08-20; applications close 2026-10-19 (in 59 days).
Role details
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger—technology that moves the world forward. Join us and, together, we’ll advance your career.
As an AMD 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
- Locations: Austin, TX; Boxborough, MA; Fort Collins, CO; Longmont, CO; Fishkill, NY; Rochester, NY
- 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.
- Spring/Summer Co-op: January 15, 2027 - August 13, 2027
- Summer Internship:
- Semester Students: May 24, 2027 - August 13, 2027
- Quarter Students: June 21, 2027 - September 10, 2027
- Summer/Fall Co-op:
- Semester Students: May 24, 2027 - December 10, 2027
- Quarter Students: June 21, 2027 - December 10, 2027
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.
- Learn innovative new technologies in Machine Learning, AI, and High Performance Compute.
- Be trained to analyze and implement changes to algorithms to improve AI performance and user experiences.
- May be assigned 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, develop, and deploy machine learning-based and computer vision features on AMD’s current and future products.
- Fix and address issues 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 Master’s degree program majoring in computer science, computer engineering, data science/analytics, or a related field.
- If you have knowledge/experience in 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 and C/C++
- Relational (SQL) and no-SQL databases
- Machine learning algorithms and frameworks
- Deep learning/AI frameworks like PyTorch, TensorFlow, Caffe
- Familiarity with cloud (e.g., AWS, GCP, Azure)
This role is not eligible for visa sponsorship.
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Applying to this role
This 2027 Masters Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op role at AMD runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.
Jorb AI tracks details for 2027 Masters Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op at AMD. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-08-21.
