Research Scientist, Deep Learning and Computer Vision - New College Graduate
Nvidia · Taipei, Taiwan
About this role
Nvidia is hiring a mid-level Research Scientist in the machine learning function based in Taipei, Taiwan. The posting calls out experience with Python, CUDA, PyTorch, Computer Vision. Listed education preference: a Ph.D. or equivalent.
- Role
- Research Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Taipei, Taiwan
- Education
- Ph.D. preferred
- Posted
- Apr 20, 2026
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Job description
from Nvidia careersNVIDIA is searching for several outstanding computer vision and deep learning researchers to join our research team. We are passionate about research that pushes boundaries but also has an impact in the real world. Specific areas we are excited by include but are not limited to computer vision for 3D vision, generative and multimodal AI (e.g., vision and language, audio-visual learning, etc.), as well as explainable and trustworthy AI. You will work within an amazing and collaborative research organization that consistently publishes at the top venues across computer science. You have the opportunity to join and shape a new research team, where your contributions can create a real impact on our products.
What you will be doing:
Research, design and implement novel computer vision and deep learning methods.
Publish original research.
Collaborate with other team members and teams.
Mentor interns.
Speak at conferences and events.
Transfer technology to product groups.
Collaborate with external researchers.
What we need to see:
Must hold a Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).
Excellent knowledge of theory and practice of computer vision and deep learning methods.
A track record of research excellence with your work published in top conferences and journals such as NeurIPS, ICML, ICLR, CVPR, PAMI, etc., and other research artifacts such as software projects.
This is an excerpt. Read the full job description on Nvidia careers →