2025 Applied Scientist Internship, Amazon University Talent Acquisition Amazon
Anzeige vom: 31.12.2024

2025 Applied Scientist Internship, Amazon University Talent Acquisition

Standort:
  • Aachen
Amazon

Zusammenfassung

  • Arbeitszeit
    Vollzeit
  • Typ
    Praktikum
  • Qualifikationslevel
    B Ausübungsformen

Gewünschte Fähigkeiten & Kenntnisse

Machine Learning
Network
Security
Design
Programmiererfahrung
IT
START
CAN
C++
Python
Make
Java
Analyse
Interviews
Support
Engineering

Stellenbeschreibung

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.



Ihre Aufgaben


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., 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, visionary 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.



Ihr Profil


  • 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



Wir bieten Ihnen


  • 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.



Kontakt


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

Profil

Fachliche Voraussetzung

  • Algorithmus, Angewandte Wissenschaft, Automatisierung, C++, Computer Vision, Computerprogrammierung, Data Mining, Deep Learning, Formale Methoden, Informatik, Java, Machine Learning, Publizieren, Python, Quantum Computing, Recruiting, Robotics, Statistiken, Unternehmensplanung, Veranstaltungsmanagement, Versuchsplanung, White Paper, Zeitschriften

Persönliche Fähigkeiten

  • Serviceorientierung

Schulabschluss

  • Master

Bewerbung

    Branche:

    Unternehmensdienstleistungen

    Arbeitgeber:

    Amazon

    Adresse:

    Amazon
    Am Schloß Eichhof 1 Eichhof
    36251 Bad Hersfeld

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