2026 Applied Scientist Intern, Amazon University Talent Acquisition
Descrizione dell'offerta
2026 Applied Scientist Intern, Amazon University Talent Acquisition
Job ID: | Amazon EU SARL (Italy Branch) - D68
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, speech technology, robotics, computer vision, optimization, operations research, 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:
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 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 person you know you’re 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, you’ll say it often. Join us and define tomorrow.
Benefits
- 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 be available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK). This is not a remote internship.
Basic Qualifications
- Experience programming in Java, C++, Python or related language
- Enrolled in a PhD or Master’s degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
Preferred Qualifications
- Have publications at top‑tier peer‑reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
- Experience implementing algorithms using toolkits and self‑developed code
- Experience in solving business problems through machine learning, data mining and statistical algorithms
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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Posted: April 3, 2026 (Updated 3 days ago)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
#J-18808-LjbffrApprofondimento sul ruolo
Il ruolo di Applied Scientist Intern rappresenta un'opportunità unica per studenti magistrali e dottorandi che desiderano applicare le proprie competenze scientifiche su problemi reali e mai risolti prima, nell'ambito del machine learning, della generative AI, della computer vision e molte altre discipline. Il tirocinio è pensato per il 2026 e consente di lavorare a stretto contatto con scienziati esperti su progetti che raggiungono la produzione effettiva, con un impatto concreto e misurabile.
Il ruolo
Come Applied Scientist Intern sarai responsabile della progettazione e dello sviluppo di sistemi end-to-end, contribuendo attivamente alla ricerca applicata in aree all'avanguardia. Avrai l'opportunità di redigere white paper tecnici, costruire roadmap di progetto e portare in produzione soluzioni innovative. Collaborerai con altri scienziati e intern per progettare nuovi algoritmi e modelli, acquisendo esperienza pratica su sfide complesse e di grande rilevanza tecnologica. Questa posizione offre la possibilità di contribuire concretamente all'avanzamento della scienza applicata in un contesto internazionale.
Competenze valorizzate
- Machine learning e deep learning
- Generative AI e Large Language Models (LLM)
- Computer vision e speech technology
- Ottimizzazione, operations research e quantum computing
- Progettazione di algoritmi e sviluppo di modelli avanzati
Il mercato del lavoro a Milano
Milano è il principale polo tecnologico e dell'innovazione in Italia, con una crescente domanda di profili specializzati in intelligenza artificiale, data science e ricerca applicata. La città ospita numerosi centri di ricerca, startup e grandi realtà internazionali che investono costantemente in talenti con background scientifico e informatico, rendendola uno degli ecosistemi più dinamici d'Europa per chi opera in questi settori.
Domande frequenti
- Quali sono le responsabilità principali di un 2026 Applied Scientist Intern, Amazon University Talent Acquisition?
- L'intern si occuperà della progettazione e dello sviluppo di sistemi end-to-end, della stesura di white paper tecnici e del deployment in produzione di soluzioni innovative in ambiti come machine learning, AI generativa e computer vision.
- Quali requisiti sono fondamentali?
- È richiesta l'iscrizione a un corso di laurea magistrale o dottorato in una disciplina scientifica rilevante, con competenze in almeno una delle aree indicate (machine learning, deep learning, generative AI, robotica, ottimizzazione, ecc.).