Research Scientist Intern – Human-Centric Generative AI
Apple
Research Scientist Intern – Human-Centric Generative AI
Job 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. 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
Locations
- Zurich, Zurich, Switzerland 8301
Salary
Estimated Salary Rangemedium confidence
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- computer visionintermediate
- machine learningintermediate
- developing algorithmsintermediate
- implementing algorithmsintermediate
- evaluating algorithmsintermediate
- improving algorithmsintermediate
- GenAI algorithmsintermediate
- Human-centric video diffusion modelsintermediate
- 3D reconstruction of humansintermediate
- Human-centric generative modelsintermediate
- Face and body trackingintermediate
- Human-object Interactionintermediate
- Advanced neural rendering techniquesintermediate
- Neural simulation techniquesintermediate
- Power-efficient deep learningintermediate
Required Qualifications
- Strong understanding of modern machine learning techniques (e.g., generative, multi-modal, and foundational models, video understanding, and self-supervised learning). (experience)
- Strong understanding of modern approaches for 3D reconstruction and rendering (e.g., MVS, NeRF, Gaussian Splatting). (experience)
- Fluency in Python and Machine Learning frameworks (e.g. PyTorch) is required. (experience)
- Excellent communication and collaboration skills. (experience)
- Good problem solving and analytical thinking abilities. (experience)
- Working towards a MSc or PhD degree in Computer Science or a related field. PhD students are preferred for research-focused internships. (degree in phd degree in computer science or a related field)
- 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. (experience)
Preferred Qualifications
- Hands-on experience with image or video diffusion models, 3D generative models, Gaussian splatting, or vision foundation models. (experience)
- Hands-on experience with human modeling algorithms (e.g., skeletal tracking, body shape and pose models, hair and garment modeling). (experience)
- Publication record at top conferences such as CVPR, ECCV, ICCV, NeurIPS or SIGGRAPH is a plus. (experience)
- Availability for 6 months minimum is preferred. (experience)
- Industry experience is a plus. (experience)
Responsibilities
- 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
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Research Scientist Intern – Human-Centric Generative AI
Apple
Research Scientist Intern – Human-Centric Generative AI
Job 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. 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
Locations
- Zurich, Zurich, Switzerland 8301
Salary
Estimated Salary Rangemedium confidence
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- computer visionintermediate
- machine learningintermediate
- developing algorithmsintermediate
- implementing algorithmsintermediate
- evaluating algorithmsintermediate
- improving algorithmsintermediate
- GenAI algorithmsintermediate
- Human-centric video diffusion modelsintermediate
- 3D reconstruction of humansintermediate
- Human-centric generative modelsintermediate
- Face and body trackingintermediate
- Human-object Interactionintermediate
- Advanced neural rendering techniquesintermediate
- Neural simulation techniquesintermediate
- Power-efficient deep learningintermediate
Required Qualifications
- Strong understanding of modern machine learning techniques (e.g., generative, multi-modal, and foundational models, video understanding, and self-supervised learning). (experience)
- Strong understanding of modern approaches for 3D reconstruction and rendering (e.g., MVS, NeRF, Gaussian Splatting). (experience)
- Fluency in Python and Machine Learning frameworks (e.g. PyTorch) is required. (experience)
- Excellent communication and collaboration skills. (experience)
- Good problem solving and analytical thinking abilities. (experience)
- Working towards a MSc or PhD degree in Computer Science or a related field. PhD students are preferred for research-focused internships. (degree in phd degree in computer science or a related field)
- 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. (experience)
Preferred Qualifications
- Hands-on experience with image or video diffusion models, 3D generative models, Gaussian splatting, or vision foundation models. (experience)
- Hands-on experience with human modeling algorithms (e.g., skeletal tracking, body shape and pose models, hair and garment modeling). (experience)
- Publication record at top conferences such as CVPR, ECCV, ICCV, NeurIPS or SIGGRAPH is a plus. (experience)
- Availability for 6 months minimum is preferred. (experience)
- Industry experience is a plus. (experience)
Responsibilities
- 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
Tags & Categories
Answer 10 quick questions to check your fit for Research Scientist Intern – Human-Centric Generative AI @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs