Research Intern, Generative and Protective AI – Content Creation

Xibo Open Source Digital Signage

Research Intern at Sony AI focused on ML technologies for movie, game, and music creation. Investigating algorithms and ethical operations of generative AIs.

Posted 6/30/2026internshipRemote • New York • 🇺🇸 United StatesEntry Level💰 $50 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing, while effectively communicating and presenting research findings in top-tier conferences.

Highest-signal resume keywords

Generative AI ApplicationsDeep Generative ModelingComputer VisionAudio Signal ProcessingDeep Learning Programming

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Algorithm DevelopmentData AttributionMemorization DetectionConcept ErasureProblem-SolvingResearch AnalysisStatistical AnalysisMachine LearningDeep LearningVisualization Techniques

Soft Skills

Analytical SkillsCommunication SkillsPresentation Skills

Tools & Technologies

PyTorchTensorBoard

Certifications & Qualifications

Master’s Degree in Computer ScienceMaster’s Degree in Electrical EngineeringMaster’s Degree in Applied Mathematics

Industry Keywords

Generative ModelsEthical AIResearch CommunitiesTop-Tier ConferencesPublished Papers

Tech Stack

Tools & technologies

PyTorch

About the role

Key responsibilities & impact

Investigate and apply novel algorithms related to the generation and editing of video, sound, and 3D visual geometry.
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 with support from internal scientists and engineers.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Remote work options
Paid overtime