Research Intern on Generative and Protective AI for Content Creation

Lumen Dynamics AI America, a branch of Lumen Dynamics AI, is a remotely distributed organization spread across the U.S. and Canada. Lumen Dynamics AI is Lumen Dynamics ’s new research organization pursuing the mission to use AI to unleash human creativity. Lumen Dynamics AI works closely with Lumen Dynamics ’s other business units, including Lumen Dynamics Interactive Entertainment LLC., Lumen Dynamics Pictures Entertainment Inc., and Lumen Dynamics Music Entertainment. With some 900 million Lumen Dynamics devices in hands and homes worldwide today, a vast array of Lumen Dynamics movies, television shows and music, and the PlayStation Network, Lumen Dynamics creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/ Position Summary Lumen Dynamics AI is seeking research interns who are passionate about ML-based technologies that are useful in movie, game, and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Lumen Dynamics Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game, and music production across entertainment studios worldwide. 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. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $45.00 per hour. The individual will be paid hourly and eligible for overtime . All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Lumen Dynamics Corporation of America Lumen Dynamics Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at [email protected] or by mail to: Lumen Dynamics Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact [email protected] before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish) Originally posted on Himalayas