2027 Undergrad Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op

Advanced Micro Devices

United States

Hybrid

USD 28,000 - 41,000

Full time

6 days ago
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Benefits offered by this job

AMD benefits at a glance

Job summary

Advanced Micro Devices (AMD) invites motivated ML/AI intern/co-op students to join our team across multiple campus locations in the United States. You will work full-time during the co-op/intern term, in a hybrid or onsite structure, contributing to research and development of next-generation features with expert ML/AI engineers.

You will learn innovative ML/AI technologies, analyze and implement algorithm improvements, and engage in projects including source code analysis and image corruption

Qualifications

  • US-based university undergraduate pursuing CS/CE/Data Science or related field.
  • Knowledge of ML, data science, computer vision, statistics, and mathematics.
  • Programming in Python and C/C++.
  • Familiarity with cloud platforms (AWS, GCP, Azure).
  • Experience with ML frameworks (PyTorch, TensorFlow, Caffe) is a plus.

Responsibilities

  • Learn ML/AI tech within HPC context and AMD ecosystem.
  • Analyze and implement algorithm changes to improve AI performance and user experiences.
  • Contribute to projects on source code analysis and image corruption detection.
  • Support AI software teams with roadmap planning and collateral development.

Skills

ML/AI
Python
C/C++
SQL/NoSQL
DL frameworks
Cloud

Education

Undergraduate CS/CE/Data Science (US university)

Tools

PyTorch
TensorFlow
Caffe

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believetechnology 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 AMDis shapingthefuture.

Whetheryou’redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge products to market, every role at AMD contributes to something bigger— technologythat 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
Duration:
  • 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. 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 Undergraduate'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)

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.

This role is not eligible for visa sponsorship.

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 Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

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