Job Description

Description

This position requires a highly motivated individual who wants to join us in the fast-moving field of large-scale generative models for generation of human-centric 3D representations. You will be responsible for developing, implementing, evaluating, and improving algorithms that model humans in complex and diverse scenarios in a photorealistic and 3D-consistent way.

Minimum Qualifications

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.
Fluency in English is required.
Excellent communication and collaboration skills.
Demonstrable problem solving and analytical thinking abilities.
Currently enrolled in PhD or Masters degree in Computer Science or equivalent. PhD degree paths are preferred for research focused internships.
(Please note : 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

Availability for 6 months minimum is preferred.
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.
Industry experience is a plus.

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Job Description

Description

Minimum Qualifications

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Preferred Qualifications

Education & Experience

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