Research Intern – Generative and Protective AI for Content Creation

Job not on LinkedIn

🕒 June 30

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🗽 New York – Remote

🗽 New York – Remote

💵 $50 / hour

👨‍🎓 Internship

⚪️ Entry-level

✍️ Content Marketing Manager

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sony

WebsiteLinkedInAll Job Openings

10,000+ employees

🎮 Gaming

📱 Media

💰 $700M Post IPO equity on 2024-08

Gaming • Media

Sony is a multinational conglomerate headquartered in Japan that designs, manufactures and distributes consumer electronics, creates and distributes entertainment content (music, movies and TV), and operates one of the world’s leading gaming platforms (PlayStation). Its businesses span consumer electronics and professional products (cameras, audio, TVs, imaging and sensing solutions), Games & Network Services (Sony Interactive Entertainment / PlayStation), Music and Pictures (movie and TV studios), and financial services and technology initiatives. Sony pursues innovation across hardware, software and content, and invests in AI and new technology ventures.

📋 Description

• Investigate and apply novel algorithms related to the generation and editing of video, sound, and 3D visual geometry (including 3D human motion). • Analyze and alleviate ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution. • Publish findings in a top-tier conference. • Implement innovative ideas using research, coding, and problem-solving skills.

🎯 Requirements

• 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. • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.