Computer Vision Intern - Remote
About the Role
Join Reality Defender as a Computer Vision Intern - Remote, where you will engage in cutting-edge research on deepfake detection. This internship is designed for PhD students who are eager to collaborate with experienced researchers and contribute to impactful projects in the field of cybersecurity.
What You'll Do
- Engage in research focused on generative image and video detection methods.
- Collaborate with AI team researchers to develop innovative solutions.
- Implement research ideas using Python, PyTorch, and cloud computing resources.
- Write reports for academic submission, contributing to peer-reviewed publications.
- Receive guidance from seasoned researchers in the field.
- Work remotely or from the NYC headquarters, depending on your preference.
- Contribute to meaningful projects that address disinformation and enhance AI ethics.
Requirements
- Currently pursuing a PhD in a relevant technical field.
- Experience in computer vision and deep learning.
- Proficiency in Python and PyTorch.
- Published research in reputable venues (e.g., CVPR, ICCV).
- A passion for deepfake detection and AI ethics.
Nice to Have
- Familiarity with cloud computing platforms.
- Experience with data visualization tools.
- Knowledge of machine learning frameworks beyond PyTorch.
What We Offer
- Gain hands-on experience in a fast-growing field of cybersecurity.
- Network with industry professionals and researchers.
- Flexible working arrangements to accommodate your schedule.
- Contribute to projects that have a real-world impact on disinformation.
- Potential for future opportunities within Reality Defender.
This Computer Vision Intern role at Reality Defender offers a unique opportunity to engage in impactful AI research while working remotely. Ideal for PhD students looking to make a difference.
Who Will Succeed Here
Proficiency in Python and PyTorch, demonstrating a strong foundation in implementing computer vision algorithms and deep learning models.
Self-motivated and disciplined, with the ability to thrive in a remote work environment by managing time effectively and delivering projects independently.
Prior experience or coursework in computer vision and deep learning, showcasing a research-oriented mindset and the ability to engage in innovative problem-solving.
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