2026 Fall Research Science Internship United States, PhD Student Science Recruiting
Seattle, OR - USA
Job Summary
As a Research Science Intern you will apply advanced statistical techniques and emerging AI/ML technologies to solve complex problems implement prototypes and work with massive datasets. Youll find yourself at the forefront of innovation shaping the future of Amazons products services and operations.
Imagine waking up each morning fueled by the excitement of solving intricate problems that have a direct impact on Amazons excellence. Your day might begin by collaborating with cross-functional teams exchanging ideas and insights to develop innovative solutions. Youll immerse yourself in a world of data leveraging your expertise in areas such as optimization machine learning statistical modeling and algorithmic research to uncover hidden patterns and drive meaningful impact.
Throughout your journey youll have access to unparalleled resources including state-of-the-art computing infrastructure cutting-edge research and mentorship from industry leaders. This immersive experience will sharpen your technical skills and cultivate your ability to think critically communicate effectively and thrive in a fast-paced innovative environment where bold ideas are celebrated.
Amazon has positions available for Research Science Internships in but not limited to Bellevue WA; Boston MA; Cambridge MA; New York NY; Santa Clara CA; Seattle WA; Sunnyvale CA Arlington VA
Key job 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
A day in the life
As a Research Science Intern youll immerse yourself in hands-on scientific work collaborating with our research team on projects that span data analysis experimental design and computational modeling. Your day might include conducting literature reviews running simulations analyzing datasets and participating in team discussions where your insights contribute to ongoing research initiatives. Youll have opportunities to present findings learn from mentors and develop practical skills in a supportive research environment that values curiosity and collaborative problem-solving.
- 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
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The starting pay for this position is listed below. Final starting pay will be based on factors including experience qualifications and location. Starting Day 1 of employment Amazon offers EAP Mental Health Support Medical Advice Line 401(k) matching. Learn more about our benefits at OR Corvallis - 136000.00 - 184000.00 USD annually
USA WA SEATTLE - 136000.00 - 184000.00 USD annually
USA WA Seattle - 136000.00 - 184000.00 USD annually
Required Experience:
Intern
About Company
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