About the Job
Are you a MS or PhD student interested in a 2025 Internship in the field of machine learning, deep learning, speech, robotics, computer vision, optimization, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you!
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We are looking for students interested in using a variety of domain expertise to invent, design, and implement state-of-the-art solutions for never-before-solved problems.
As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create 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. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer-focused culture.
Key Responsibilities
- Design and develop end-to-end systems
- Write technical white papers
- Create roadmaps for projects
- Develop and deploy solutions in production
- Collaborate with diverse groups and cross-functional teams
Work Conditions
Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full-time internships.
Some benefits of an Amazon Science internship include:
- Competitive stipend/salary
- Pairing with experienced managers and mentors
- Invitations to various intern program initiatives and site events
- Networking opportunities with other Amazon Scientists
- Potential to publish work at top-tier conferences
Please note these internships are not remote positions.
Basic Qualifications
- Enrolled in a PhD in computer science, machine learning, engineering, or related fields
- Fluent in English (speaking, writing, and reading)
Preferred Qualifications
- Experience building machine learning models or developing algorithms for business applications
Location
Dubai, UAE
