Amazon is seeking highly motivated Master’s or PhD students for the Applied Scientist Intern 2026 role, focused on advanced research and applied development in cutting-edge technologies. This internship is designed for candidates interested in machine learning, deep learning, generative AI, large language models (LLMs), speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, and formal methods.

This opportunity targets students who are eager to apply strong domain expertise to invent, design, and implement state-of-the-art scientific and engineering solutions for complex, previously unsolved problems, while contributing to real-world, production-level systems.

Key Responsibilities

• Design and develop end-to-end applied science systems from concept to production.
• Create and implement novel algorithms, models, and technical solutions.
• Write technical documentation and white papers to support research and development initiatives.
• Build technical roadmaps and contribute to production-grade projects aligned with Amazon Science.
• Collaborate with applied scientists, engineers, and other science interns across cross-functional teams.
• Deploy scalable solutions that align with a customer-focused, data-driven culture

Internship Experience

• This role offers hands-on exposure to high-impact research and applied science projects.
• Interns gain experience in solving real business and technical challenges using AI-driven and data-centric approaches, while continuously developing technical and professional skills.
• The internship environment supports innovation, collaboration, and measurable impact, allowing interns to contribute to technologies that influence products used globally.

Internship Benefits

• Competitive internship salary or stipend
• Dedicated manager and scientific mentor(s)
• Access to intern programs, scientific events, and site activities
• Opportunities to build a strong professional network with Amazon Scientists
• Potential to publish research at top-tier peer-reviewed conferences or journals

Team & Program Details

• Applications are reviewed on a rolling basis
• Candidates are matched with teams based on research interests and academic background
• Start dates are available throughout the year
• Full-time internship duration ranges from 3 to 6 months

Basic Qualifications

• Programming experience in Python, Java, C++, or related languages
• Current enrollment in a Master’s or PhD program in Computer Science, Machine Learning, Engineering, Operations Research, Statistics, or a related field

Preferred Qualifications

• Publications in top-tier peer-reviewed conferences or journals
• Experience implementing algorithms using machine learning frameworks, research toolkits, or custom-developed code
• Proven ability to solve business or scientific problems using machine learning, data mining, and statistical methods

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