Internship - Computer Vision
Internship - Computer Vision
Internship - Computer Vision
Internship - Computer Vision
Apple Inc
Computer-Hardware
München
- Art der Beschäftigung: Studierende
- Vor Ort
Internship - Computer Vision
Über diesen Job
Summary
Posted:
Weekly Hours: 40
Role Number:200626871-1731
Application Deadline: 30th November 2025
Apple Vision Pro is a revolutionary spatial computer that seamlessly blends digital content with your physical space. It will allow us to do the things we love in ways never before possible — all while staying connected to the people around us. As an intern in the Apple Vision Pro team, you will join a team of computer vision and machine learning researchers and engineers to discover and build solutions that will shape the future of spatial computing. You will have the rare and rewarding opportunity to contribute to upcoming products that will delight and inspire millions of Apple’s customers every single day.
We are part of the ARKit team within VPG Software. Our team has delivered real-time 3D Scene Understanding algorithms on both iOS and visionOS platforms. In addition, we are developing the algorithms to generate training and benchmarking data essential for the development of core VisionOS features.
Description
You will be working in a dynamic and creative team charged with exploring a rapidly evolving domain where you will contribute by designing and developing innovative ideas in the realm of Computer Vision, 3D Geometry and Machine Learning. The team is highly cross-functional and is working with many other teams on developing innovative computer vision and machine learning systems.
As a Computer Vision Intern on our team you will utilize your knowledge and experience to help investigate and prototype novel algorithmic ideas. You will be responsible for implementing, evaluating and improving Computer Vision and Machine Learning algorithms based on the latest advancements in the fields.
Minimum Qualifications
- Enrolled in Master’s Degree or PhD in Computer Science or equivalent
- Strong background in the field of 3D reconstruction and Gaussian splatting techniques
- Excellent coding skills in Python or C++
- Good communication and teamwork skills
Preferred Qualifications
- Hands-on experience working with deep learning frameworks such as PyTorch, Jax, or Tensorflow
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.
Unternehmens-Details
Apple Inc
Computer-Hardware