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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

20Open Positions

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Research Intern - Human-Centric Computer Vision

Apple
Found 1 month ago
Location
Zurich, Switzerland
Duration (Months)
6 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • generative models
  • multi-modal foundation models
  • neural rendering
  • 3D representations
  • Gaussian Splatting
  • Python
  • PyTorch

Soft Skills

  • communication skills
  • collaboration skills
  • problem solving
  • analytical thinking

Job 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. Potential internship areas: - 3D reconstruction of humans - Human-centric generative models - Face and body tracking - Human-object Interaction - Advanced neural rendering techniques - Neural simulation techniques - Power-efficient deep learning

Requirements

  • Currently pursuing an MS or PhD degree in Computer Science, or a related field. PhD Students are preferred for research-focused internships.
  • At 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.
  • Strong understanding of generative models and/or multi-modal foundation models.
  • Strong understanding of neural rendering, 3D representations and Gaussian Splatting.
  • Fluency in Python and Machine Learning Frameworks (i.e. PyTorch) is required.
  • Excellent communication and collaboration skills.
  • Demonstrable problem solving and analytical thinking abilities.

Related Field

  • AI & Machine Learning

Related Subfield

  • Computer Vision

Languages

  • English

Nice to Haves

  • 3D generative models
  • Gaussian splatting
  • vision foundation models
  • Publication record at top conferences such as CVPR, ECCV, ICCV, NeurIPS or SIGGRAPH
  • 6 months minimum availability
  • Industry experience
▶Apply Now

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