ML/AI Intern: Hands-On AI & Computer Vision Co-op

AMD; City of Rochester (NY); Hybrid; USD 25,000 - 39,000; Full time

Job summary

AMD is seeking a Master’s-student intern/co-op in the US to work on AI/ML, HPC, and computer vision projects. You will learn advanced technologies, analyze and improve AI algorithms, and contribute to real-world software for millions of users.

You will collaborate with AI software teams, apply ML techniques, and participate in roadmap planning and collateral development. The role supports a hybrid or onsite work structure across multiple US locations.

Qualifications

• Enrolled in a US-based university in a Master's degree program majoring in computer science, computer engineering, data science/analytics, or related field.
• Knowledge/experience with machine learning, data science, computer vision, statistics and mathematics.
• Programming in Python, C/C++.
• Experience with relational SQL and no-SQL databases.
• Familiarity with ML frameworks such as PyTorch, TensorFlow, Caffe; cloud awareness (AWS, GCP, Azure).

Responsibilities

• We will help you learn innovative technologies in Machine Learning, AI, and High Performance Compute.
• We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences.
• Possible project work on ML techniques to build applications for source code analysis and image corruption detection.
• Research, development, and deployment in ML-based and computer vision products; fix deployed AI to improve user experience.
• Support AI software teams with roadmap planning, collateral development, and customer engagements.

Skills

Machine learning

Data science

Computer vision

Statistics

Mathematics

Education

Master's degree student in CS/CE/Data science

Tools

Python

C/C++

SQL

NoSQL databases

PyTorch

TensorFlow

Caffe

AWS

GCP

Azure

Job description

AMD is seeking a Master’s-student intern/co-op in the US to work on AI/ML, HPC, and computer vision projects. You will learn advanced technologies, analyze and improve AI algorithms, and contribute to real-world software for millions of users.

You will collaborate with AI software teams, apply ML techniques, and participate in roadmap planning and collateral development. The role supports a hybrid or onsite work structure across multiple US locations.