Zoom Video Communications

2 weeks ago

Video AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Build and enhance Zoom’s video AI capabilities, including improved video codecs, generative video, and real-time 3D reconstruction. You’ll design and implement algorithms across video and 3D pipelines, integrate deep learning models across Mac, Windows, iOS, and Android, and optimize performance for real-time use. Work on research, evaluation, and production-ready code with unit testing and test tooling across Zoom’s distributed, cloud-hosted backend.

Location: San Jose

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and develop video and generative video processing applications for desktop and mobile systems.
•Conduct research and performance evaluation of video processing, video generation, and 3D reconstruction algorithms.
•Design and develop algorithms in Zoom’s video and 3D reconstruction processing pipelines at both module and system levels.
•Implement and modularize video, neural rendering, and 3D Gaussian Splatting algorithms with production-ready code.
•Optimize video, generative, and 3D reconstruction algorithms to achieve real-time performance across target platforms, and integrate deep learning models across Mac, Windows, iOS, and Android.

Pay and Benefits

Salary: USD 137,700 - 275,400 annually

Equity and Bonus:Equity

Key Requirements

•PhD in Electrical Engineering, Computer Science, Applied Mathematics (or related) or a Masters with 3 years relevant experience, or 7 years equivalent professional experience.
•Experience with C/C++ or Objective-C and Python, with released projects and top conference papers involving talking avatar/head/portrait work.
•Hands-on experience with video generation/video diffusion models, neural rendering techniques (e.g., NeRF, 3D Gaussian Splatting), and 3D reconstruction systems.
•Hands-on experience with machine learning techniques such as generative models, diffusion models, discriminative models, or transfer learning.
•Experience or strong understanding of at least one deepfake detection approach, including biometric analysis, VLM-based techniques, interactive behavior analysis, or multimodal signal modeling leveraging visual/temporal/audio cues.

Education:PhD / Doctorate

Skills:ResearchPerformance evaluationCollaborationTest designReal-time optimization

Tech Stack:C/C++Objective-CPythonVideo generationVideo diffusion modelsNeRF3D Gaussian SplattingDeep learningMachine learningGenerative modelsDiffusion modelsDiscriminative modelsTransfer learningMultimedia stream processing3D reconstruction3D neural renderingMulti-threaded programmingUnit testingMacWindows

Company Brief

Zoom Video Communications

Provides video conferencing, chat, phone, webinar, and collaboration software for businesses, schools, and individuals. Its platform is widely used for remote meetings, virtual events, and hybrid work communication.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 2011

Website LinkedIn

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Zoom Video Communications

2 weeks ago

Video AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and develop video and generative video processing applications for desktop and mobile systems.
•Conduct research and performance evaluation of video processing, video generation, and 3D reconstruction algorithms.
•Design and develop algorithms in Zoom’s video and 3D reconstruction processing pipelines at both module and system levels.
•Implement and modularize video, neural rendering, and 3D Gaussian Splatting algorithms with production-ready code.
•Optimize video, generative, and 3D reconstruction algorithms to achieve real-time performance across target platforms, and integrate deep learning models across Mac, Windows, iOS, and Android.

Pay and Benefits

Salary: USD 137,700 - 275,400 annually

Equity and Bonus:Equity

Key Requirements

•PhD in Electrical Engineering, Computer Science, Applied Mathematics (or related) or a Masters with 3 years relevant experience, or 7 years equivalent professional experience.
•Experience with C/C++ or Objective-C and Python, with released projects and top conference papers involving talking avatar/head/portrait work.
•Hands-on experience with video generation/video diffusion models, neural rendering techniques (e.g., NeRF, 3D Gaussian Splatting), and 3D reconstruction systems.
•Hands-on experience with machine learning techniques such as generative models, diffusion models, discriminative models, or transfer learning.
•Experience or strong understanding of at least one deepfake detection approach, including biometric analysis, VLM-based techniques, interactive behavior analysis, or multimodal signal modeling leveraging visual/temporal/audio cues.

Education:PhD / Doctorate

Skills:ResearchPerformance evaluationCollaborationTest designReal-time optimization

Company Brief

Zoom Video Communications

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 2011

Website LinkedIn