Research Intern - Human-Centric Computer Vision

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 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

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.