Research Scientist Intern – Human-Centric Generative AI
vor 9 Stunden
- Strong understanding of modern machine learning techniques (e.g., generative, multi-modal, and foundational models, video understanding, and self-supervised learning).
- Strong understanding of modern approaches for 3D reconstruction and rendering (e.g., MVS, NeRF, Gaussian Splatting).
- Fluency in Python and Machine Learning frameworks (e.g. PyTorch) is required.
- Excellent communication and collaboration skills.
- Good problem solving and analytical thinking abilities.
- Working towards a MSc 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 university to continue your education, or the internship must be the last requirement for you to graduate.
- Hands-on experience with image or video diffusion models, 3D generative models, Gaussian splatting, or vision foundation models.
- Hands-on experience with human modeling algorithms (e.g., skeletal tracking, body shape and pose models, hair and garment modeling).
- 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.
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