2026 Fall Research Science Internship - United States, PhD Student Science Recruiting
About The Position
This Research Science Internship at Amazon is for individuals who enjoy solving challenging problems and driving innovation in research. Interns will develop scalable models and apply machine learning techniques to guide real-world decisions, contributing to the future of Amazon's products, services, and operations. The role involves applying advanced statistical techniques and emerging AI/ML technologies to solve complex problems, implement prototypes, and work with massive datasets. Interns will collaborate with cross-functional teams, leveraging expertise in optimization, machine learning, statistical modeling, and algorithmic research. The immersive experience offers access to state-of-the-art computing infrastructure, cutting-edge research, and mentorship from industry leaders, aiming to sharpen technical skills and cultivate critical thinking, effective communication, and thriving in a fast-paced, innovative environment. Positions are available in various US locations including Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA, and Arlington, VA.
Requirements
- Are enrolled in a PhD in computer science, machine learning, engineering, or related fields
- Can relocate to where the internship is based
- Must be available for full-time (40 hours per week) internship for the whole duration of the internship
Nice To Haves
- Experience with statistical analysis software or data visualization tools
- Prior research experience through academic projects, laboratory work, or internships
- Knowledge of machine learning or advanced computational methods
Responsibilities
- Conduct research activities including data collection, analysis, and interpretation under the guidance of senior researchers
- Develop and test hypotheses using appropriate scientific methodologies and computational tools
- Document findings, maintain detailed research records, and prepare reports summarizing results and insights
- Collaborate with team members to troubleshoot challenges and refine experimental approaches
- Participate in team meetings and present progress updates on assigned research projects
Benefits
- EAP
- Mental Health Support
- Medical Advice Line
- 401(k) matching
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
