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Scan Video Algorithms Intern, Video Coding; Gaussian Splatting), Fall · risk Netflix United

Job in Los Gatos, Santa Clara County, California, 95030, USA
Listing for: 10xCareer
Apprenticeship/Internship position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 41000 - 55000 USD Yearly USD 41000.00 55000.00 YEAR
Job Description & How to Apply Below
Position: Scan Jul 30 Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026 Apply · 3/10 risk Netflix United

Worth applying Netflix Los Gatos,California,United States of America

Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026 Skills and tasks
  • Custom CUDA Kernel Optimization for Gaussian Rasterization
  • Neural Video Compression & Rate-Distortion Theory
  • Perceptual Quality Metrics for 3D Novel-View Synthesis

Skill-to-task connections are not available yet.

Tasks from the posting

Explore GS model compression strategies

You + AI

Characterize trade-offs among GS model size

You + AI

Identify strategies to reduce training time

Identify strategies to reduce training time

Your edge

Design and implement a proof-of-concept

Design and implement a proof-of-concept

You + AI

Contribute to dataset needs for scenes

Contribute to dataset needs for scenes

Your edge

Prepare for this role

Practice an interview or plan your next steps with AI Coach.

of this job is already automatable.
70% is classified as human or shared work.

0 AI does it 3 You + AI 2 Your edge of 5 duties

Your edge 3 things

  • Formulating original algorithmic approaches to compress 3D Gaussian representations.
  • Evaluating visual perceptual quality artifacts that standard automated metrics miss.

The field growing 10+ years

Demand for spatial computing and 3D/4D photorealistic rendering is accelerating across hardware vendors and streaming platforms. Efficient compression of novel-view synthesis models is essential for bandwidth-constrained consumer playback.

  • 03 Git Hub Copilot Writing PyTorch model wrappers and evaluation boilerplate for Gaussian Splatting
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