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

Researcher Intern (Intelligent Creation-Vision and Graphics) - 2026 Start (PhD) at TikTok in Seattle, WA.

Responsibilities

Our team's mission is to empower content interaction and creation using CV related technologies. We focus on cutting-edge R&D in areas like video understanding, multimodal understanding, image and video synthesis, 3D vision and intelligent editing. We are looking for Research Interns in the area of computer vision and machine learning at all levels at TikTok.

We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.

This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to:

• Build new features that touch hundreds of millions of people around the world
• Solve unique, large-scale, highly complex technical problems
• Build the next-generation monetization platform to help millions of customers grow their businesses
• Work with your mentor to deliver product features and make engineering improvements
• Build world-class web applications that combine usability, accessibility, elegance, performance, and maintainability
• Conduct cutting-edge research and development in computer vision, machine learning and other related fields
• Work with Research Scientists to deliver advanced technologies to TikTok products

Requirements

PhD

PhD internships at TikTok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

• Able to commit to working for 12 weeks during Summer 2026
• Currently pursuing a PhD in Computer Science or a related technical discipline.
• Strong track record of research in one or more areas of computer vision, computer graphics and machine learning, preferring candidates with publications in some conference such as SIGGRAPH/SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR.
• Highly competent in algorithms and programming.
• Work and collaborate well with team members.
• Ability to work independently.

Preferred Qualifications

• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
• High levels of creativity and quick problem-solving capabilities.

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.