Machine Learning and Artificial Intelligence Intern/Co-op

Amd

Confirmed live today Low trust

Hybrid

Quick summary

Work type: Hybrid
Location: Austin, TXBoxborough, MAFort Collins, COLongmont, COFishkill, NYRochester, NY
Salary: $59,072–$88,608 / yr
Employment: Intern
Posted: 67 days ago
Freshness: Confirmed live today
Closes: Aug 20, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $184k

This role $74k

$37k $264k

below market most similar roles pay here above market

This role pays less than 96% of similar roles. Most pay $126,400–$241,750 — the blue band above. At the midpoint, this role pays about $74k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Machine Learning and Artificial Intelligence Intern/Co-op

Role Posting Log in to save

The 2027 Undergrad Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op will join a team of extraordinary engineers to participate in the research and development of next-generation product differentiation features. The intern will analyze and implement algorithmic changes to improve AI performance and user experiences while working on machine learning techniques for source code analysis and Image Corruption Detection. Key responsibilities include researching, developing, and deploying machine learning-based and computer vision products, fixing problems with deployed AI, and supporting software teams with roadmap planning. Candidates should possess skills in machine learning, data science, computer vision, statistics, and mathematics. Required technical proficiencies include programming in Python and C/C++, SQL and no-SQL databases, deep learning frameworks like Pytorch, Tensorflow, or Caffe, and familiarity with cloud platforms like AWS, GCP, or Azure.

Skills

Machine Learning Artificial Intelligence Python C/C++ PyTorch TensorFlow Computer Vision High Performance Compute SQL no-SQL AWS GCP Azure Caffe Data Science Statistics Mathematics

What you'll do

Research and develop next-generation product differentiation features using machine learning and AI.
Analyze and implement changes to algorithms to improve AI performance and user experiences.
Build applications for source code analysis and Image Corruption Detection using machine learning techniques.
Research, develop, and deploy machine learning-based and computer vision products for current and future hardware.
Fix and address problems with deployed AI systems to enhance the user experience.
Support AI software teams with roadmap planning, collateral development, and customer engagements.

What we're looking for

You must be currently enrolled in a US-based university undergraduate degree program.
You must major in computer science, computer engineering, data science, analytics, or a related field.
You must be able to work full-time (40 hours a week) in a hybrid or onsite structure.
Knowledge or experience in machine learning, data science, computer vision, statistics, and mathematics is encouraged.
Programming experience in Python and C/C++ is encouraged.
Experience with relational (SQL) and no-SQL databases is encouraged.
Experience with machine learning algorithms, frameworks, and deep learning libraries like Pytorch, Tensorflow, or Caffe is encouraged.
Familiarity with cloud platforms such as AWS, GCP, or Azure is encouraged.

Machine Learning and Artificial Intelligence Intern

Apple Inc

158 days ago

Python Swift Objective C Java TensorFlow PyTorch CoreFlow Sklearn Machine Learning Large Language Models Diffusion Models Reinforcement Learning Linear Algebra Statistics Causal Inference Time Series Analysis Optimization Stochastic Modeling

Save