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Research Intern Generative and Protective AI Content Creation

Job in Rock Hill, York County, South Carolina, 29732, USA
Listing for: Sony
Apprenticeship/Internship position
Listed on 2026-03-12
Job specializations:
  • Engineering
    AI Engineer, Computer Science
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer, Computer Science
Salary/Wage Range or Industry Benchmark: 10000 - 60000 USD Yearly USD 10000.00 60000.00 YEAR
Job Description & How to Apply Below
Position: Research Intern on Generative and Protective AI for Content Creation

Employer Industry: Entertainment Technology

Why consider this job opportunity:
  • Target hourly rate of $50.00, with eligibility for overtime
  • Opportunity to contribute to innovative projects in film, game, and music production
  • Flexible working location options, including Tokyo, NYC, or remote
  • Gain experience in a leading company with a strong focus on generative AI and machine learning
  • Collaborate with internal scientists and engineers to enhance your research and coding skills
What to Expect (Job Responsibilities):
  • Investigate and apply novel algorithms for video, sound, and 3D visual geometry generation and editing
  • Analyze and address ethical flaws in generative models, focusing on memorization detection and data attribution
  • Aim to publish findings at top-tier conferences in the field of AI and machine learning
  • Implement innovative research ideas using coding and problem-solving skills
  • Work closely with a team of scientists and engineers for support and guidance
What is 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 and computer vision
  • Strong analytical and programming skills in deep learning using frameworks like Py Torch
  • Experience in research communities with published papers at top-tier conferences such as CVPR, NeurIPS, and ICML
  • Excellent communication and presentation skills
How to Stand Out (Preferred Qualifications):
  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, or Applied Mathematics

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Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

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