2027 Research Science Internship - United States, PhD Student Science Recruiting
About the role
Do you enjoy solving challenging problems and driving innovation in research? Do you want to develop scalable models and apply machine learning techniques to guide real-world decisions? We are looking for builders, innovators, and entrepreneurs who want to bring their ideas to reality and improve the lives of millions of customers. 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. You'll find yourself at the forefront of innovation, shaping the future of Amazon's products, services, and operations. Imagine waking up each morning, fueled by the excitement of solving intricate problems that have a direct impact on Amazon's excellence. Your day might begin by collaborating with cross-functional teams, exchanging ideas and insights to develop innovative solutions. You'll 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, you'll 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.
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
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
- Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions
Preferred Qualifications
- 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
Pay
Seattle, WA, USA - 129,200.00 USD Annually
Benefits
- Employee Assistance Program (EAP)
- Mental Health Support
- Medical Advice Line
- 401(k) matching