About the Role

This is a PhD-level research scientist internship focused on synthetic image generation for virtual and augmented reality. The intern will design algorithms in computer vision, machine learning, and generative AI, and collaborate on novel methods for high-fidelity, controllable image synthesis.

Key Responsibilities

• Design and execute algorithms in computer vision, machine learning, computer graphics, and generative AI
• Conduct literature reviews and build knowledge of latest AI-based image generation advancements
• Collaborate with research team to design and implement novel algorithms for synthetic image generation or translation
• Experiment with cutting-edge machine learning models and frameworks to enhance image synthesis
• Analyze and evaluate model performance to improve image quality, realism, and diversity

Required Skills & Qualifications

Must Have:

• Currently has or is in process of obtaining a PhD in EE/CS, Applied Math, or related STEM field
• Experience in Python or C++
• Experience with ML frameworks such as PyTorch or TensorFlow
• Experience in generative AI, computer vision, computer graphics, or machine learning

Nice to Have:

• Proven track record demonstrated by grants, fellowships, patents, or first-authored publications at leading conferences/journals
• Contributions to open-source projects, publications, or relevant projects in synthetic image generation
• Experience with cloud computing platforms and distributed computing for large-scale experiments