Video Algorithms Intern, Video Coding (Gaussian Splatting)

OverviewGaussian Splatting (GS) is a 3D/4D scene reconstruction technique enabling photorealistic novel-view synthesis with low rendering complexity. As part of the Video Algorithms team during a 24‑week Fall internship, you will investigate GS as a future streaming format and explore improvements toward a practical system.

ResponsibilitiesExplore GS model compression strategies using open datasetsContribute to early thinking on additional dataset needs for representative scenesCharacterize trade‑offs among GS model size, training time, and rendered quality, and quantify the gap relative to streaming‑rate targetsIdentify and experiment with strategies to reduce training/encoding time and/or improve GS compression efficiencyDesign and implement a proof‑of‑concept that showcases GS‑based rendering on content of interestQualificationsCurrently pursuing a PhD in Computer Science, Engineering, Math, or Statistics with an expected graduation date in June2027 or laterThrives working in complex, dynamic, and fast‑moving environmentsStrong software development skills and comfortable with software engineering best practices (e.g., version control, testing, code review)Successful track record in research of 3D/4D scene reconstruction, novel‑view synthesis, Gaussian Splatting or NeRF, differentiable rendering, neural graphics, or 3D computer visionSolid understanding of machine learning and deep learning concepts, with hands‑on experience training and evaluating ML modelsAble to program fluently in PythonNice to HaveFamiliarity with real‑time rendering and GPU programming (CUDA, WebGL, graphics pipelines)Background in video compression, streaming systems, or codec standards such as HEVC and AV1Involvement in open‑source multimedia or graphics projectsExperience with large‑scale distributed systems and cloud computingEqual‑Opportunity Employer StatementWe are an equal‑opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. At Netflix, we want to entertain the world.