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Research Scientist Intern – Human-Centric Generative AI

Applevor 5 MonatenAktualisiert vor 3 TagenPraktikum
Vor OrtEnglisch erforderlichTechKI, ML & Data Science

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  • Gehalt

    Nicht angegeben

    Median für Tech in München: 2.410 €/Monat, aus 27 Praktikumsanzeigen mit Gehaltsangabe der letzten 12 Monate. Gehaltsübersicht

  • Voraussetzungen

    Studium: Informatik oder vergleichbar · Promovierende · Immatrikulation erforderlich

  • Arbeitgeber

    Apple · Elektronik & Halbleiter · 10.000+ Beschäftigte weltweit · Deutschlandzentrale in München

    Wir listen 25 offene Werkstudentenjobs und Praktika bei Apple, davon 23 in München. Seit März 2026 haben wir dort 7 weitere gelistet, die inzwischen geschlossen sind. Alle Stellen von Apple

  • Ähnliche Stellen

  • Skills laut Anzeige

    Computer VisionPyTorchGaussian SplattingGenerative AISelf-Supervised LearningPythonMachine LearningMulti-Modal Models3D ReconstructionDiffusion Models

Stellenbeschreibung

Beschreibung bereitgestellt von Apple

Summary
At Apple, we push the boundary of what is possible to improve the lives of our customers. The Europe Vision Group (EVG) is focused on enhancing communication by advancing the state-of-the-art in computer vision and machine learning. We are shipping features such as Persona for Apple Vision Pro, Portrait Mode, ARKit, Animoji and FaceTime Eye Contact. These breakthroughs are enabled by state-of-the-art research combined with world-class design. We are looking for a research intern who is excited to shape the next generation of Apple products and contribute to the next wave of transformative computer vision experiences.

Description
This position requires highly-motivated individuals who want to join us in the fast-moving field of large-scale models for human-centric 3D representations. You will be responsible for developing, implementing, evaluating, and improving computer vision and GenAI algorithms that model photorealistic humans in complex and diverse scenarios.

Potential Internship Areas
Human-centric multi-modal generative models

Human-centric video diffusion models

Human behavior modeling and simulation

Human-Object Interaction

Human-Computer Interaction

3D reconstruction of humans

Face and body tracking

Minimum Qualifications

  • At the end of the internship, you must return to university to continue your education, or the internship must be the last requirement for you to graduate.
  • Strong understanding of modern machine learning techniques (e.g., generative, multi-modal, and foundational models; video understanding; and self-supervised learning).
  • Fluency in Python and Machine Learning frameworks (e.g. PyTorch) is required.
  • Excellent communication and collaboration skills.
  • Good problem-solving and analytical thinking abilities.
  • Working towards a PhD degree in Computer Science or a related field. PhD students are preferred for research-focused internships.

Preferred Qualifications

  • Strong understanding of modern approaches for 3D reconstruction and rendering (e.g., Gaussian Splatting).
  • Hands-on experience with image or video diffusion models, 3D generative models, or vision foundation models.
  • Hands-on experience with human modeling algorithms (e.g., skeletal tracking, body shape and pose models, hair and clothes modeling).
  • Publication record at top conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, or SIGGRAPH is a plus.
  • Industry experience is a plus.
  • Availability for 6 months minimum is preferred.

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Role Number: 200690377-1731

Es gelten:Pflichtpraktikum140/280-Tage-RegelBrutto-Netto-Rechner

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