12 hours ago

Researcher Intern (Vision and Graphics) - 2026 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Join a TikTok engineering team to develop and deploy computer-vision and machine-learning technologies for content interaction and creation. You’ll work on advanced R&D such as video understanding, multimodal understanding, image/video synthesis, 3D vision, and intelligent editing, partnering with mentors and Research Scientists to deliver impactful features and web applications.

Location: San Jose

Employment Type: Internship

Job Function: Research & Scientific (R&D)

Seniority: Intern level

Key Responsibilities

•Build new features that impact hundreds of millions of people worldwide.
•Solve large-scale, highly complex technical problems in vision and graphics research.
•Work with a mentor to deliver product features and engineering improvements.
•Conduct cutting-edge R&D across computer vision and machine learning to advance TikTok technologies.
•Collaborate with Research Scientists to deliver advanced technologies to TikTok products.

Key Requirements

•Commit to working for 12 weeks during Summer 2026.
•Currently pursuing a PhD in Computer Science or a related technical discipline.
•Strong research track record in computer vision, computer graphics, and machine learning; publications in venues such as SIGGRAPH/SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR are preferred.
•Highly competent in algorithms and programming.
•Ability to work independently and collaborate well with team members.

Experience:Computer visionMachine learningComputer graphicsResearch publications

Education:PhD / Doctorate in Computer Science

Skills:CollaborationIndependenceCreativityProblem-solving

Tech Stack:Computer visionMachine learningAlgorithmsProgrammingWeb applications

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

12 hours ago

Researcher Intern (Vision and Graphics) - 2026 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: San Jose

Employment Type: Internship

Job Function: Research & Scientific (R&D)

Seniority: Intern level

Key Responsibilities

•Build new features that impact hundreds of millions of people worldwide.
•Solve large-scale, highly complex technical problems in vision and graphics research.
•Work with a mentor to deliver product features and engineering improvements.
•Conduct cutting-edge R&D across computer vision and machine learning to advance TikTok technologies.
•Collaborate with Research Scientists to deliver advanced technologies to TikTok products.

Key Requirements

•Commit to working for 12 weeks during Summer 2026.
•Currently pursuing a PhD in Computer Science or a related technical discipline.
•Strong research track record in computer vision, computer graphics, and machine learning; publications in venues such as SIGGRAPH/SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR are preferred.
•Highly competent in algorithms and programming.
•Ability to work independently and collaborate well with team members.

Experience:Computer visionMachine learningComputer graphicsResearch publications

Education:PhD / Doctorate in Computer Science

Skills:CollaborationIndependenceCreativityProblem-solving

Tech Stack:Computer visionMachine learningAlgorithmsProgrammingWeb applications

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn