Sony

Sony

Research Intern on Generative and Protective AI for Content Creation

Remote - New York · Intern · Internship

Sponsorship not specifiedDetected 21 days ago
AlgorithmsMachine LearningDeep LearningPyTorchComputer VisionLLMsElectrical EngineeringResearchCommunicationProblem Solving

About the role

  • Sony 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.
  • The technologies developed during the internship will have the potential to be applied in film, game, and music production across entertainment studios worldwide.

Responsibilities

  • You will receive support from internal scientists and engineers in your efforts.

Requirements

  • Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related fields.
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, and ICML.

Nice to have

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.
  • The target hourly rate for this internship is $50.00 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.
  • For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010.
  • Please indicate the position you are applying for.
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  • To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com.

Skills

  • https://ai.sony/

Benefits

  • 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 ).
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