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 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
- 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.
- 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.
Required Experience:
Intern
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 ...
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 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
- 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.
- 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.
Required Experience:
Intern
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