2027 Applied Science Internship - United States - Master's Student Science Recruiting

Amazon Inc.; Seattle (WA); On-site; USD 116,000 - 142,000; Full time

Benefits offered by this job

Relocation assistance

Housing assistance

Benefits package

Job summary

Amazon is seeking a Master’s student for the 2027 Applied Science Internship in the United States (Seattle). You will work on machine learning, NLP, computer vision, automated reasoning, or robotics, building end-to-end systems and driving production-level projects for Amazon Science.

You will collaborate with Amazon scientists and other interns to develop solutions, own the design and deployment, and create technical roadmaps.

Qualifications

• Enrolled in a Master's program in a relevant field.
• Must be eligible for full-time (40 hours/week) internship for the duration.

Responsibilities

• Own the design and development of end-to-end systems for production use.
• Work with Amazon scientists and other interns to deploy solutions.
• Develop technical roadmaps and drive production-level projects for Amazon Science.

Skills

Python

Java

C/C++

Education

Master's degree

Job description

2027 Applied Science Internship - United States - Master's Student Science Recruiting

Job ID: 10564586 | Amazon.com Services LLC

Are you a Master's student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.

A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.

To ensure a great internship experience, please keep these things in mind. This is a full time internship and requires an individual to work 40 hours a week for the duration of the internship. Amazon requires an intern to be located where their assigned team is. Amazon is happy to provide relocation and housing assistance if you are located 50 miles or further from the office location.

For more information on the Amazon Science community please visit https://www.amazon.science.

Basic Qualifications

• - Are enrolled in a Master's degree
• - Can relocate to where the internship is based
• - Experience programming or scripting language like Python, Java, C or C++
• - Must be eligible for and available for full-time (40 hours per week) internship for the whole duration of the internship/co-op

Preferred Qualifications

• - Have publications at top-tier peer-reviewed conferences or journals

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 .

Preferred Qualifications

• - Have publications at top-tier peer-reviewed conferences or journals

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.