Amazon Is Hiring Interns | Pay $65–$107/Hour | Check Role & Apply Now

Amazon

Amazon is hiring interns for the position of Machine Learning for 2025. Find out all the key details below and learn how to apply!

About Amazon

Amazon is one of the world’s most recognized tech and e-commerce companies, known for its innovation, customer obsession, and global influence. With a diverse portfolio that includes services like AWS, Alexa, and Prime, Amazon continuously redefines how people shop, learn, and experience technology. The company’s Applied Science team is at the forefront of AI and machine learning, powering personalized experiences for millions across the globe.


Internship Overview

• 📌 Position: Machine Learning Intern
• 📍 Location: Multiple U.S. cities including Seattle, New York, Palo Alto, and Boston
• 🗓 Duration: Up to 12 weeks
• ⏱ Time Commitment: Full-time (40 hours/week)


Roles & Responsibilities

• Build and evaluate advanced recommendation and search algorithms
• Develop large-scale data pipelines for cleaning and feature engineering
• Conduct applied research in areas like knowledge graphs, deep learning, and NLP
• Collaborate with engineers to bring ML solutions into production
• Document and present research through reports and presentations


Qualifications & Eligibility

• Enrolled in a PhD program
• Must be at least 18 years old
• Able to commit full-time for the internship duration
• Strong skills in Python, Java, or C++
• Background in one or more areas: Machine Learning, Deep Learning, NLP, Graph Models
• Must be authorized to work in the United States (relocation required for on-site roles)


Benefits & Perks

• Pay range: $65.38 – $107.40/hour
• Access to world-class research infrastructure and computing resources
• Mentorship from top-tier AI and ML professionals
• Hands-on experience with scalable systems and real-world data
• Potential for research publication and professional growth


Important Dates

• 🗓 Application Deadline: Apply ASAP 
• 📅 Internship Start Date: Summer 2025


How to Apply

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