Overview
Amazon is accepting applications for a 2026 Applied Scientist internship in Cairo for master's and PhD students working in areas including machine learning, generative AI, large language models, computer vision, robotics, optimization and automated reasoning.
Complete internship details
Amazon job ID 10385882 is a full-time Applied Science internship. The official posting states that applications are reviewed on a rolling basis, start dates are available throughout the year and internships can run for 3–6 months. Interns work on end-to-end scientific systems and may be aligned to teams based on research interests and experience. The posting explicitly states that these are not remote internships.
Eligibility requirements
Basic qualifications include enrollment in a PhD or master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or a related field, plus programming experience in Java, C++, Python or a related language. Amazon lists publications at top-tier peer-reviewed venues and experience implementing algorithms or solving business problems with machine learning, data mining or statistics among preferred qualifications.
Tips for this internship
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Verified against the current official Amazon Jobs posting for job ID 10385882. The page lists Cairo, Egypt, Applied Science, student internship, rolling review, 3–6 month durations and non-remote work.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
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