Research Intern - Human-Centric Computer Vision
Apple
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. 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
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
- problem-solvingintermediate
- computer visionintermediate
- machine learningintermediate
- 3D reconstructionintermediate
- generative modelsintermediate
- face trackingintermediate
- body trackingintermediate
- human-object interactionintermediate
- neural renderingintermediate
- neural simulationintermediate
- deep learningintermediate
Required Qualifications
- Currently pursuing an MS 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)
- 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. (experience)
- Strong understanding of generative models and/or multi-modal foundation models. (experience)
- Strong understanding of neural rendering, 3D representations and Gaussian Splatting. (experience)
- Fluency in Python and Machine Learning Frameworks (i.e. PyTorch) is required. (experience)
- Excellent communication and collaboration skills. (experience)
- Demonstrable problem solving and analytical thinking abilities. (experience)
Preferred Qualifications
- Hands-on experience with 3D generative models, Gaussian splatting, or vision foundation models. (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 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
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Answer 10 quick questions to check your fit for Research Intern - Human-Centric Computer Vision @ Apple.
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Research Intern - Human-Centric Computer Vision
Apple
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. 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
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
- problem-solvingintermediate
- computer visionintermediate
- machine learningintermediate
- 3D reconstructionintermediate
- generative modelsintermediate
- face trackingintermediate
- body trackingintermediate
- human-object interactionintermediate
- neural renderingintermediate
- neural simulationintermediate
- deep learningintermediate
Required Qualifications
- Currently pursuing an MS 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)
- 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. (experience)
- Strong understanding of generative models and/or multi-modal foundation models. (experience)
- Strong understanding of neural rendering, 3D representations and Gaussian Splatting. (experience)
- Fluency in Python and Machine Learning Frameworks (i.e. PyTorch) is required. (experience)
- Excellent communication and collaboration skills. (experience)
- Demonstrable problem solving and analytical thinking abilities. (experience)
Preferred Qualifications
- Hands-on experience with 3D generative models, Gaussian splatting, or vision foundation models. (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 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
Tags & Categories
Answer 10 quick questions to check your fit for Research Intern - Human-Centric Computer Vision @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs