Research Intern - Human-Centric Computer Vision

Job Description:

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. Our 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. We 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. 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

Minimum Qualifications

* 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.

Preferred Qualifications

* Hands-on experience with 3D generative models, Gaussian splatting, or vision foundation models.
* Publication record at top conferences such as CVPR, ECCV, ICCV, NeurIPS or SIGGRAPH is a plus.
* Availability for 6 months minimum is preferred.
* Industry experience is a plus