Internship in Applied Science - EMEA
Amazon.com
Entry-level
Not specified
Remote
Posted 1 month ago
Job summary
Join Amazon's science team as an internship where you'll dive into machine learning and deep learning projects. Lead the design and development of innovative tech solutions while working closely with experienced scientists. With a commitment to personal growth, this internship offers a competitive salary, mentor guidance, and potential publication opportunities. Apply now to make an impact with your skills in an exciting workplace!
Role details
- Role
- Full-time
- Industry
- Internet And Software
- Employment
- Fulltime, Internship
- Education
- PhD
Responsibilities
- Design and develop end-to-end systems
- Write technical white papers
- Create project roadmaps
- Develop algorithms or models
- Deploy solutions into production
Requirements
- Interest in machine learning, deep learning, and related fields
- Ability to work with diverse groups and cross-functional teams
- Strong problem-solving skills
Benefits
- Competitive stipend/salary
- Mentorship from experienced professionals
- Networking opportunities with Amazon Scientists
- Invitations to intern program events
- Potential to publish work at conferences
Key skills
Machine Learning
Deep Learning
Speech
Robotics
Computer Vision
Optimization
Quantum Computing
Automated Reasoning
Formal Methods
Algorithm Design
Model Design
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- DESCRIPTION
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!
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.
You can find more information about the Amazon Science community as well as our interview process via the links below;
https://www.amazon.science/
https://amazon.jobs/content/en/career\-programs/university/science
https://amazon.jobs/content/en/how\-we\-hire/university\-roles/applied\-science
Key job responsibilities
As an Applied Science Intern, you will own the design and development of end\-to\-end systems. Youβll 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 Amazonβs customer focused culture.
The ideal intern must have the ability to work with diverse groups of people and cross\-functional teams to solve complex business problems.
A day in the life
At Amazon, you will grow into the high impact, visionary person you know youβre ready to be. Every day will be filled with developing new skills and achieving personal growth.
How often can you say that your work changes the world? At Amazon, youβll say it often. Join us and define tomorrow.
Some more benefits of an Amazon Science internship include;
All of our internships offer a competitive stipend/salary
Interns are paired with an experienced manager and mentor(s)
Interns receive invitations to different events such as intern program initiatives or site events
Interns can build their professional and personal network with other Amazon Scientists
Interns can potentially publish work at top tier conferences each year
About the team
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.
This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Luxembourg, Netherlands, Poland, Romania, Spain, UAE, and UK).
Please note these are not remote internships.
BASIC QUALIFICATIONS
PhD, or Master's degree
PREFERRED QUALIFICATIONS
* Have publications at top\-tier peer\-reviewed conferences or journals
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy\_page) to know more about how we collect, use and transfer the personal data of our candidates.
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 youβre applying in isnβt listed, please contact your Recruiting Partner.