Video Algorithms Intern, Video Coding… at Netflix · Los Gatos

Summary: Netflix is a leading entertainment company focused on pushing the boundaries of storytelling and technology. The Video Algorithms Intern will assist in investigating Gaussian Splatting as a future streaming format and explore improvements to make it practical for consumer devices. Responsibilities: - Explore GS model compression strategies using open datasets - Contribute to early thinking on additional dataset needs for representative scenes - Characterize trade-offs among GS model size, training time, and rendered quality, and quantify the gap relative to streaming-rate targets - Identify and experiment with strategies to reduce training/encoding time and/or to improve GS compression efficiency - Design and implement a proof-of-concept (PoC) that showcases GS-based rendering on content of interest Required Qualifications: - Currently pursuing a PhD in a technical field such as Computer Science, Engineering, Math, or Statistics, with an expected graduation date in June 2027 or later - Thrives working in complex, dynamic, and fast-moving environments - Strong software development skills and feels comfortable with software engineering best practices (e.g., version control, testing, code review, etc.) - Successful track record in research of 3D/4D scene reconstruction, novel-view synthesis, Gaussian Splatting or NeRF, differentiable rendering, neural graphics, or 3D computer vision - Solid understanding of machine learning and deep learning concepts, with hands-on experience training and evaluating ML models - Able to program fluently in Python Preferred Qualifications: - Familiarity with real-time rendering and GPU programming (CUDA, WebGL, graphics pipelines) - Background in video compression, streaming systems, or codec standards such as HEVC and AV1 - Involvement in open-source multimedia or graphics projects - Experience with large-scale distributed systems and cloud computing Required Skills: 3D/4D scene reconstruction, Novel-view synthesis, Gaussian Splatting, NeRF, Differentiable rendering, Neural graphics, 3D computer vision, Machine learning, Deep learning, ML model training and evaluation, Python programming, Software development best practices, Version control, Testing, Code review Internship Start Date: Start in 2026 Fall Benefits: Health Plans, Mental Health support, A 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, Life and Serious Injury Benefits, Paid leave of absence programs, Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off, Full-time salaried employees are immediately entitled to flexible time off