How do I apply for the Research Intern - Human-Centric Computer Vision position at Apple and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Research Intern - Human-Centric Computer Vision role?

This position is a not disclosed, structured as a not disclosed role, with an expected duration of 6 months.

What educational background or degree level is required for the Research Intern - Human-Centric Computer Vision at Apple?

Candidates are generally expected to be holding or pursuing the following degree levels: Master, PhD.

Does Apple provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

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.

AI & Machine Learning

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

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