Hybrid ML/AI Internship: Shape Next-Gen AI & CV Tech

Advanced Micro Devices, Inc.; Santa Clara (CA); Hybrid; USD 28,000 - 41,000; Full time

Job summary

Advanced Micro Devices is offering a Machine Learning/Artificial Intelligence intern/co-op in California, with 40 hours per week in a hybrid or onsite setup. The program targets students from accredited US universities pursuing a Master’s degree in computer science, engineering, data science, or related fields.

You will work with expert ML/AI engineers on next-generation product differentiation features, learn new technologies, analyze algorithms for AI improvements, and contribute to real-world

Qualifications

• 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
• Knowledge / experience with machine learning, data science, computer vision, statistics, and mathematics is encouraged
• Familiarity with cloud (e.g., AWS, GCP, Azure) is desirable and helpful

Responsibilities

• Learn and work on ML/AI features for next-generation products
• Analyze and implement changes to algorithms to improve AI performance and user experiences
• Contribute to projects in machine learning techniques for source code analysis and image corruption detection
• Support AI software teams with roadmap planning, collateral development, and customer engagements

Skills

Machine learning

Data science

Computer vision

Statistics

Mathematics

Python

C/C++

SQL

No-SQL databases

ML frameworks

PyTorch

TensorFlow

Caffe

Cloud familiarity

Education

Master’s degree in computer science, computer engineering, data science/analytics, or related field

Tools

PyTorch

TensorFlow

Caffe

AWS

GCP

Azure

Job description

Advanced Micro Devices is offering a Machine Learning/Artificial Intelligence intern/co-op in California, with 40 hours per week in a hybrid or onsite setup. The program targets students from accredited US universities pursuing a Master’s degree in computer science, engineering, data science, or related fields.

You will work with expert ML/AI engineers on next-generation product differentiation features, learn new technologies, analyze algorithms for AI improvements, and contribute to real-world