Video Algorithms Intern: Real-Time Gaussian Splatting

Netflix, Inc.; Los Gatos (CA); On-site; USD 60,000 - 80,000; Full time

Job summary

Netflix, Inc. is seeking a Fall intern for the Video Algorithms team to explore Gaussian Splatting (GS) as a future streaming format. The role involves investigating model compression strategies, characterizing trade-offs in rendered quality, and implementing proof-of-concept rendering systems.

Candidates should be PhD students in related fields with strong software skills and a background in 3D reconstruction and machine learning. A commitment to diversity and inclusion is essential at Netflix.

Qualifications

• Currently pursuing a PhD in Computer Science, Engineering, Math, or Statistics.
• Strong software development skills with good engineering practices.
• Solid understanding of machine learning concepts with hands-on experience.

Responsibilities

• Explore GS model compression strategies using open datasets.
• Design and implement a proof of concept for GS-based rendering.
• Characterize trade-offs among GS model size, training time, and quality.

Skills

Software development skills

Research in 3D/4D scene reconstruction

Programming in Python

Machine learning concepts

Education

Current PhD student in a relevant field

Tools

CUDA

WebGL

Job description

Netflix, Inc. is seeking a Fall intern for the Video Algorithms team to explore Gaussian Splatting (GS) as a future streaming format. The role involves investigating model compression strategies, characterizing trade-offs in rendered quality, and implementing proof-of-concept rendering systems.

Candidates should be PhD students in related fields with strong software skills and a background in 3D reconstruction and machine learning. A commitment to diversity and inclusion is essential at Netflix.