Research Scientist Intern – Human-Centric Generative AI at Apple

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

0.0

Posted On

24 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Computer Vision, Generative Models, 3D Reconstruction, Python, PyTorch, Problem Solving, Analytical Thinking, Collaboration, Communication, Human Modeling, Neural Rendering, Deep Learning, Video Understanding, Self-Supervised Learning, Diffusion Models

Industry

Computers and Electronics Manufacturing

Description

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 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. 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.

Responsibilities

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 include human-centric video diffusion models, 3D reconstruction of humans, and advanced neural rendering techniques.