We’re building the intelligence behind how customers discover, trust and enjoy products on Amazon. We’re solving complex catalogue quality challenges with machine learning, enhancing product discovery through computer vision and multimodal AI and pioneering agentic systems that autonomously navigate and stress-test the Amazon shopping experience to surface insights at scale. We’re looking for PhD students across multiple research domains to invent, design, and implement state of the art solutions for never before solved problems. Your work here won’t just stay in a notebook, it ships to production and reaches customers worldwide. Check out the details below including the job responsibilities, team details, and basic qualifications before submitting your application.
You can find more information about the Amazon Science community as well as interview preparation tips via the links below; 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. 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. The adecuado intern should have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
A day in the life
You’ll spend your first weeks scoping your project with your mentor, then own the research and implementation end-to-end. Your work could involve developing machine learning and data ana
📌 2027 Applied Scientist Internship – PhD, Amazon University Talent Acquisition (Madrid)
🏢 Amazon
📍 Madrid
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Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.