Looking for a high-impact, fully-paid research internship in the USA? The Amazon Research Science Internship 2025 is your gateway to working on the world’s most challenging machine learning, AI, and science problems—alongside industry pioneers at Amazon. This in-depth guide covers all you need, from eligibility and benefits to the application process, requirements, living costs, and success tips.
Basic Information about the Amazon Research Science Internship 2025
- Program: Amazon Research Science Internship, USA (2025)
- Location: Multiple tech hubs in the US (Seattle, San Francisco, Boston, New York, Cambridge, Santa Clara, Sunnyvale, Bellevue, others)
- Term & Duration: Full-time, 40 hours/week, typically 12 weeks** (Most offer between July–December 2025; Summer term lasts 10–12 weeks)
- Targeted Students: MS and PhD students in quantitative science and engineering programs; select undergraduate tracks
- Application Timeline: Rolling basis; positions fill quickly; candidates should apply as early as possible starting Fall 2024
- Number of Positions: Hundreds, with a focus on diversity and cutting-edge tech areas
Amazon as Host Institution
Amazon.com, Inc. is one of the world’s largest technology and innovation companies, renowned for its customer-centric products and global scientific leadership. As an Amazon Research Science Intern:
- You work on real-world projects in AI, robotics, computer vision, quantum computing, natural language processing, optimization, and more
- You join a diverse, global company with inclusive values
- Collaborate with scientists and engineers who publish at the top conferences
Amazon’s U.S. locations offer exposure to vibrant research communities, tech meetups, and large-scale, high-impact projects.
Study Areas (Available Program Names)
The 2025 internship spans several core and interdisciplinary science domains. Key focus areas include:
- Machine Learning & AI
- Deep Learning, Reinforcement Learning, Large Language Models, Multi-Modal Models
- Robotics & Automation
- Computer Vision, Embedded Systems, Autonomous Vehicles & Drones
- Natural Language Processing & Speech Technology
- NLP, NLU, Speech Recognition, Generative AI, Transformers
- Data Science & Statistics
- Predictive Analytics, Data Mining, Time Series, Causal Inference
- Optimization & Operations Research
- Simulation Modeling, Process Control, Mathematical Programming (LP, MIP)
- Quantum Computing
- Quantum Algorithms & Information Theory
- Computer Vision & Graphics
- Object Detection, Scene Understanding
- Other Areas
- Information Retrieval, Recommendation Systems, Supply Chain Science
Interns are matched to teams and projects based on skills, interests, and business needs.
Scholarship Benefits
Amazon offers one of the most competitive science internships globally. Benefits include:
- High Hourly Compensation: $65–$107/hour depending on city (e.g., San Francisco, Boston, Seattle, New York yield higher rates)
- Full-Time, Paid Internship: Salary often works out to $8,000–$10,000/month, usually paid bi-weekly
- Housing Stipend or Relocation Support: Provided in addition to salary for students moving to internship locations
- Mentorship: Dedicated technical mentors and managers, career support, and professional feedback
- Networking Events: Join Amazon’s internal research meetups, panel talks, socials, and intern projects
- Access to Leading Resources: State-of-the-art infrastructure, proprietary and open datasets, and large-scale cloud compute resources (AWS)
- Potential for Return Offers: High-performing interns may receive return full-time or follow-up internship offers
- Conference Publication Opportunities: Support for publishing research at peer-reviewed conferences
Benefits Not Included
- Accommodation coverage: Not all internships cover full housing costs; stipends and support provided, but students may need to budget for remaining rent/housing differences
- Living Expenses beyond Stipend: Personal costs (food, utilities, insurance, travel) not directly refunded
- Visa Processing Costs for Dependents: The intern is responsible for additional family/dependent expenses
- Travel for Interviews: Some pre-internship travel (such as in-person interviews) may not be covered
- Post-internship Relocation: Moving back or onward after the internship is typically at the intern’s expense
Eligibility Criteria for the Amazon Research Science Internship
To apply for the Amazon Research Science Internship 2025 in the USA, you must:
- Currently enrolled in a PhD or Master’s program (some top undergraduate candidates considered) in quantitative fields: Computer Science, Engineering, Mathematics, Data Science, Statistics, Robotics, Physics, Economics, etc.
- Be at least 18 years old
- Be able to commit full-time (40 hours/week) for 12 weeks between July and December 2025
- Be eligible to work in the USA (Amazon provides some visa support for top international candidates)
- Possess strong programming ability: Proficiency in Python, Java, C++, or similar languages
- Demonstrated experience or coursework in at least one targeted science/tech area (see above)
- Publication record (preferred): Conference/journal papers, especially at venues like NeurIPS, ICML, CVPR, ICCV, ICLR, etc.
Desirable traits: Demonstrated teamwork, independence, leadership, and the ability to apply theory to practical problems.
Required Documents for Application
Get these items ready for a successful application:
- Resume / CV (with publications, projects, technical skills, and research interests clearly listed)
- Academic transcripts (unofficial transcripts are typically sufficient)
- Cover letter (detailing research experience, interests, and fit)
- Recommendation letters (usually one or two, from professors or senior industry contacts)
- Proof of enrollment (student status letter or similar documentation)
- Research statement or sample publication (if required by a specific group)
- Portfolio or GitHub link (optional, but strongly recommended for coding roles)
- Visa/Work eligibility documentation (if applying as an international student)
Scholarship Application Process (Step-by-Step Guide)
- Explore Open Positions
- Prepare Your Materials
- Update your CV, collect transcripts, craft a tailored cover letter, and secure academic referees.
- Apply Online
- Complete the digital application, select your areas of interest, and upload all required documents.
- Initial Screening
- Amazon’s recruiting team reviews your application. They prioritize candidates with strong academic performance, research expertise, and relevant project work.
- Technical Interview(s)
- Selected candidates are invited for remote (sometimes in-person) interviews focusing on:
- Research experience
- Coding proficiency (Python/Java/C++ assessments)
- Problem-solving, statistics, and machine learning knowledge
- Selected candidates are invited for remote (sometimes in-person) interviews focusing on:
- Team Matching
- Finalists are matched with suitable research science teams based on preferences and technical experience.
- Offer & Onboarding
- Successful applicants receive offers and begin the onboarding and visa/work authorization process (if required). Details for housing stipends and support are provided at this point.
Pro tip: Apply as soon as possible; positions are reviewed and filled on a rolling basis.
Tips for a Successful Application
- Highlight research outputs: Papers, open-source contributions, or research competitions (Kaggle, etc.)
- Customize your application for the specific Amazon science group and project; mention key skills that match robotic vision, LLMs, optimization, etc.
- Show evidence of teamwork and leadership—interns collaborate cross-functionally at Amazon
- Practice coding and tech interviews using LeetCode, HackerRank, or similar platforms
- Secure strong recommendations from academic mentors who can vouch for your expertise and drive
- Be clear about visa needs early in the process if you require sponsorship or CPT/OPT authorization
- Demonstrate passion for real-world impact—emphasize how research at Amazon translates to large-scale, customer-facing solutions
Monthly Living Expenses for International Students (USD)
The Amazon stipend is designed to cover most living costs in major US cities. Here is an estimated breakdown:
| Expense Category | Major US Cities/Month (USD) | Notes |
|---|---|---|
| Accommodation | $1,500 – $3,000 | Varies (higher in SF/NYC) |
| Food & Groceries | $350 – $600 | Diverse food options |
| Utilities/Internet | $120 – $230 | Shared in student housing |
| Public Transportation | $100 – $180 | Monthly passes for buses/trains |
| Health Insurance | $200 – $400 | Some coverage by university |
| Incidentals | $200 – $350 | Cell phone, leisure, personal |
| Total | $2,470 – $4,760 | Location and lifestyle vary |
Amazon provides relocation stipends and a high hourly wage—in most cases, these are sufficient to cover all expected student costs in the USA.
Why Choose the Amazon Research Science Internship? (Top 5 Reasons)
- Work with Industry Leaders: Collaborate with world-class researchers and engineers solving cutting-edge challenges.
- Exceptional Compensation: Among the highest intern pays globally, plus stipends for housing and relocation.
- Real-World Impact: Directly contribute to products and services impacting millions of Amazon customers worldwide.
- Career Advancement: Build networks, receive technical mentorship, and improve your prospects for full-time Amazon roles or other elite tech careers.
- Innovation & Learning: Access proprietary datasets, top-tier research publications, and the chance to publish your own findings.
- Inclusive Community: Experience a supportive culture with people from diverse backgrounds, industries, and global communities.
Frequently Asked Questions (FAQ)
Q: Who can apply for the Amazon Research Science Internship USA?
A: Primarily MS and PhD students in STEM/quantitative research areas. Top undergraduates with advanced research can also apply.
Q: What is the compensation for the internship?
A: Most interns earn between $65 and $107 per hour, depending on location; monthly compensation is typically $8,000–$10,000, with housing/relocation assisted.
Q: Are international students eligible?
A: Yes—Amazon hires globally and supports CPT/OPT and some J-1 visa candidates. Timing and offers depend on visa policy and individual university partnership.
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Q: How competitive is the selection?
A: Highly competitive! Strong publication records, coding proficiency, and impactful research experience stand out.
Q: What is the internship duration?
A: Most internships last 12 weeks (full-time) and generally run from July to December 2025, with flexible start dates.
Q: Can interns get a full-time offer?
A: Yes, high-performing interns may receive return internship or full-time offers after graduation.
Q: Where are the internships located?
A: Major tech hubs: Seattle, San Francisco Bay Area, Boston, New York, Cambridge, Santa Clara, Bellevue, and others.
Q: What programming languages are required?
A: Python, Java, or C++; additional tools (R, C++, SQL, AWS, etc.) are valued.
Q: What does the application process look like?
A: Online application, technical interviews, team matching, offer—followed by onboarding and, if needed, visa processing.
Be proactive—start your Amazon Research Science Internship 2025 USA application today, and join the world’s elite network of innovators building tomorrow’s technology!
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