Generative AI Researcher Intern (Intelligent Creation-Vision and Graphics) - 2027 Start (PhD

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 Tik Tok.

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 Tik Tok.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.

Our dynamic internship experience blends hands‑on learning, enriching community-building and professional development events, and collaboration with industry experts.

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 Tik Tok products

Minimum Qualifications:

• Able to commit to working for 12 weeks during in 2027
• 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.

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

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $60- $60.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising sound judgment.