Research Intern

vor 1 Tag


Zürich, Zürich, Schweiz Apple Vollzeit

Summary
At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion for problem-solving and dedication to your job, and there's no telling what you could accomplish. We advance the state of the art to improve the lives of our customers worldwide. The European Vision Group (EVG) is dedicated to fundamental and applied research in computer vision and machine learning, with a focus on enriching human communication.nnOur team has delivered groundbreaking human-centric vision technologies used by millions worldwide, including Persona for Apple Vision Pro, Portrait Mode, FaceTime Eye Contact, Animoji and ARKit. These innovations are result of world-class research combined with world-class engineering. nnWe are seeking a research intern who is passionate about shaping the future of Apple products and excited to 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 algorithms that model photorealistic 3D humans in complex and diverse scenarios.nnPotential internship areas:n- 3D reconstruction of humansn- Human-centric generative modelsn- Face and body trackingn- Human-object Interactionn- Advanced neural rendering techniquesn- Neural simulation techniquesn- Power-efficient deep learning

Minimum Qualifications
Currently pursuing an MS or PhD degree in Computer Science, or a related field. PhD Students are preferred for research-focused internships.nAt the end of the internship, you must return to school to continue your education or the internship must be the last requirement for you to graduate.nStrong understanding of generative models and/or multi-modal foundation models.nStrong understanding of neural rendering, 3D representations and Gaussian Splatting.nFluency in Python and Machine Learning Frameworks (i.e. PyTorch) is required.nExcellent communication and collaboration skills.nDemonstrable problem solving and analytical thinking abilities.

Preferred Qualifications
Hands-on experience with 3D generative models, Gaussian splatting, or vision foundation models.nPublication record at top conferences such as CVPR, ECCV, ICCV, NeurIPS or SIGGRAPH is a plus.nAvailability for 6 months minimum is preferred.nIndustry experience is a plus.


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