Applied Science Internship- Master's Student Science Recruiting - Seattle (Jan 2026)

Join Amazon Science as an Applied Science Intern to design and develop end-to-end systems tackling complex AI challenges in a fast-paced environment.

Your Role

Here’s what you will be doing:

• Own the design and development of end-to-end systems.
• Create technical roadmaps and drive production-level projects supporting Amazon Science.
• Work closely with Amazon scientists and other science interns to develop solutions and deploy them into production.
• Leverage scientific techniques and implement systems to work on massive datasets addressing unsolved problems.
• Collaborate with diverse groups and cross-functional teams to solve complex business problems.

About You

The company is looking for:

• Master’s degree student enrolled in a relevant program.
• At least 18 years of age.
• Ability to work 40 hours per week and commit to a 12-week internship.
• Willingness to relocate to the internship location; relocation and housing assistance provided if located 50 miles or further from the office.
• Experience with programming or scripting languages such as Python, Java, C, or C++.
• Preferred: Publications at top-tier peer-reviewed conferences or journals.
• Self-starter comfortable with ambiguity, strong attention to detail, and ability to work in a fast-paced, ever-changing environment.

Compensation & Benefits

• Base pay ranges from $129,400/year to $212,800/year depending on geographic market.
• Compensation varies based on job-related knowledge, skills, and experience.
• Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package.
• Full range of medical, financial, and/or other benefits.

How to Apply

This is a full-time internship requiring 40 hours per week. Candidates must be located where their assigned team is based. Amazon provides relocation and housing assistance if applicable.

This job may close before the stated closing date, you are encouraged to apply as soon as possible

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