2027 Research Science Internship - United States, PhD Student Science Recruiting
Amazon is hiring a 2027 Research Science Internship - United States, PhD Student Science Recruiting in Seattle, United States. It pays $129k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Builds AI ●●●● is how Level rates this HR role: the job is building AI systems.
- The listed pay starts close to the typical HR posting on Level.
- Tools and skills the posting cites include Python, Machine learning and statistical modeling.
- Level classifies it as an internship.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Conduct research and develop scalable machine learning models as a Research Science Intern.
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.
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, you'll 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. You'll have opportunities to present findings, learn from mentors, and develop practical skills in a supportive research environment that values curiosity and collaborative problem-solving.
Basic qualifications
- 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
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
Seattle, WA, USA - 129,200.00 USD Annually
How we rate this
2027 Research Science Internship - United States, PhD Student Science Recruiting at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in HR jobs at this level
Pay
- This job starts at
- $129k
- Typical HR job
- $126k
This posting starts close to the typical HR job. See HR jobs
Questions you could be asked
- Tell me about a project where statistical modeling was part of your work. What did you do?
- Tell me about a project where algorithm design was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where research was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Statistical Modeling, Algorithm Design, Data Analysis, Research, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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