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

2025 Applied Scientist Internship, Amazon University Talent Acquisition

Standort:
  • Tübingen
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

    Ähnliche Stellenanzeigen

    Entschuldigung! Leider ist ein technisches Problem aufgetreten. Bitte die Seite neu laden.
    Seite neu laden
    Zu deinen Filterkriterien gab es leider keine Ergebnisse. Tipp: Ändere deine Suchanfrage und erhalte mehr Ergebnisse.
    Deine Ergebnisse werden aktualisiert
    • Eberhard Karls Universität Tübingen KöR
      Tübingen
      02.01.2025
      Network
      Handwerk
      Gesundheitsförderung
      Maschinelles Lernen
      Administration
      Leitung
      Englisch
      Datenverarbeitung
      Spirit
      Unfallversicherung
      Innovation
      Studienberatung
      Tivoli Storage Manager
      Technik
      Organisation
      Weiterbildungsmaßnahmen
      Berufsausbildung
      Finanzierung
      Beratung
      Unfallversicherung
      Verwaltung
      Dienstleistungen
      Praktikumserfahrung
      Recht
      MINT
      Engagement
      Support
      Staatsexamen
    • The University Of Tübingen Inc
      Tübingen
      01.01.2025
      Projekterfahrung
      Verantwortungsvolle Arbeitsweise
      Gesundheitswissenschaft
      Allgemeinmedizin
      Teamfähigkeit
      Auswertung
      Mobiles Arbeiten
      Python
      SAS
      Habilitation
      TVöD
      Public-Health
      Stata
      Sorgfältige Arbeitsweise
    • CureVac Corporate Services GmbH
      Tübingen
      31.12.2024
      Bewerbermanagement
      Active Sourcing
      Zielorientierung
      Offenheit
      Verantwortungsvolle Arbeitsweise
      Recruiting
      Vertragsmanagement
      Teamfähigkeit
      Kommunikationsfähigkeit
      Englisch
      Flexibilität
      Zuverlässigkeit
      Social-Media
      Optimierung
      HR-Bereich
      Verhandlungsgeschick
      Eigenmotivation
      Serviceorientierung
      Interviews
      Abwechslungsreiche Tätigkeiten
      Einfühlungsvermögen
      Einsatzbereitschaft
      Deutsch