Netflix

2 months ago

Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Investigate whether Gaussian Splatting (GS) can become a future streaming format by compressing 3D/4D scene reconstructions with photorealistic novel-view rendering. Work on reducing GS training/encoding time, improving compression efficiency, and quantifying trade-offs against streaming-rate targets. Build a proof-of-concept PoC to demonstrate GS-based rendering on content of interest, using ML and software engineering best practices.

Location: United States

Workplace: Onsite

Employment Type: Internship · 6 months

Job Function: Creative Production (Video/Audio/Photo)

Seniority: Intern level

Key Responsibilities

•Explore GS model compression strategies using open datasets.
•Develop early thinking on additional dataset needs for representative scenes.
•Characterize trade-offs among GS model size, training time, and rendered quality against streaming-rate targets.
•Experiment with strategies to reduce training/encoding time and improve GS compression efficiency.
•Design and implement a proof-of-concept (PoC) demonstrating GS-based rendering on content of interest.

Pay and Benefits

Salary: USD 40 - 110 hourly

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•Currently pursuing a PhD in a technical field such as Computer Science, Engineering, Math, or Statistics, graduating June 2027 or later.
•Strong software development skills and comfort with software engineering best practices (version control, testing, code review).
•Research experience in 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, with hands-on experience training and evaluating ML models.
•Fluent programming in Python.

Experience:ResearchMachine learningDeep learning3D computer vision

Education:PhD / Doctorate

Skills:Software engineering best practicesResearchProblem-solvingAttention to detail

Tech Stack:PythonCUDAWebGLGraphics pipelinesHEVCAV1Machine learningDeep learningNeRFGaussian SplattingDifferentiable renderingNeural graphicsVersion controlTestingCode review

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Netflix

2 months ago

Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Internship · 6 months

Job Function: Creative Production (Video/Audio/Photo)

Seniority: Intern level

Key Responsibilities

•Explore GS model compression strategies using open datasets.
•Develop early thinking on additional dataset needs for representative scenes.
•Characterize trade-offs among GS model size, training time, and rendered quality against streaming-rate targets.
•Experiment with strategies to reduce training/encoding time and improve GS compression efficiency.
•Design and implement a proof-of-concept (PoC) demonstrating GS-based rendering on content of interest.

Pay and Benefits

Salary: USD 40 - 110 hourly

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•Currently pursuing a PhD in a technical field such as Computer Science, Engineering, Math, or Statistics, graduating June 2027 or later.
•Strong software development skills and comfort with software engineering best practices (version control, testing, code review).
•Research experience in 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, with hands-on experience training and evaluating ML models.
•Fluent programming in Python.

Experience:ResearchMachine learningDeep learning3D computer vision

Education:PhD / Doctorate

Skills:Software engineering best practicesResearchProblem-solvingAttention to detail

Tech Stack:PythonCUDAWebGLGraphics pipelinesHEVCAV1Machine learningDeep learningNeRFGaussian SplattingDifferentiable renderingNeural graphicsVersion controlTestingCode review

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor