At Apple, 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 and body tracking in ARKit. These innovations are result of world-class research combined with world-class engineering.
We are seeking two research interns who are 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 and GenAI algorithms that model photorealistic humans in complex and diverse scenarios.
Potential internship areas:
- Human-centric video diffusion models
- 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
Preferred Qualifications
Hands-on experience with image or video diffusion models, 3D generative models, Gaussian splatting, or vision foundation models.
Hands-on experience with human modeling algorithms (e.g., skeletal tracking, body shape and pose models, hair and garment modeling).
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.
Minimum Qualifications
Strong understanding of modern machine learning techniques (e.g., generative, multi-modal, and foundational models, video understanding, and self-supervised learning).
Strong understanding of modern approaches for 3D reconstruction and rendering (e.g., MVS, NeRF, Gaussian Splatting).
Fluency in Python and Machine Learning frameworks (e.g. PyTorch) is required.
Excellent communication and collaboration skills.
Good problem solving and analytical thinking abilities.
Working towards a MSc 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 university to continue your education, or the internship must be the last requirement for you to graduate.
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.