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.
Collaborate with internal scientists and engineers in your efforts.

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.

Applicant Tracking System Keywords

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

Hard Skills & Tools

generative AI applicationsdeep generative modelingcomputer visionaudio signal processingdeep learningproblem-solving

Soft Skills

analytical skillscommunication skillspresentation skills

Certifications

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