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Research Intern on Generative and Protective AI… at Sony… · Remote
InternshipRemoteFull-timeRemote$104k–$104k/yr
Skills
generative ai applicationsdeep learningcomputer visionaudio signal processingpytorchtensorboardanalytical skillsprogramming skillsresearch experience
Job Description
Summary: Sony AI America is a branch of Sony AI focused on using AI to enhance human creativity. They are seeking research interns passionate about ML-based technologies for content creation in film, games, and music, with an emphasis on ethical operations of generative AIs.
Responsibilities:
- As a research intern, you will investigate and apply novel algorithms related to:
- The generation and editing of video, sound, and 3D visual geometry (including 3D human motion)
- The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution
- Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts
Required Qualifications:
- Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related fields
- Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing
- Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch) and visualization (e.g., TensorBoard)
- Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, and ICML
- Excellent communication and presentation skills
Preferred Qualifications:
- Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines
Required Skills: Generative AI applications, Deep learning, Computer vision
Important Skills: Audio signal processing, PyTorch, TensorBoard
Nice-to-Have Skills: Analytical skills, Programming skills, Research experience