Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
4 Vacancies
Competitive
- We are looking to hire a highly motivated, best-in-class OMC Network Engineer to join our growing team within Corporate Infrastructure Services.
- The positions responsibilities involve operational support and maintenance of infrastructure hardware, configuration and network connectivity for corporate offices.
- Experience as a network engineer with deployments for large-scale networks in a corporate environment and hands-on experience in physical infrastructure installations.
Competitive
- As a Reliability Maintenance Engineering (RME) Area Manager, you’ll bring together the elements that make our working environment as supportive and efficient as possible.
- Implement EU network standards, plan preventative maintenance and ensure technical availability.
- Relevant experience in liaising and managing relationships between a variety of stakeholders including third-party vendors.
Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services
NewPosted 05 Aug 2026AmazonCompetitive
- Want to design and build fair and explainable systems which automate recruitment processes across Amazon?
- Join our Recommendations team within Intelligent Talent Acquisition (ITA) where you’ll build machine learning products that transform how job seekers find opportunities and recruiters discover talent.
- Our ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems.
Competitive
- Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods?
- 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.