Job Description
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. PhD 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. 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). Responsibilities 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 Qualifications Minimum Qualifications: 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 top-tier venues 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. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications Graduating December 2026 onwards with the intent to return to degree program after the completion of the internship. Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications. High levels of creativity and quick problem-solving capabilities. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy Job Information 【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. For Los Angeles County (unincorporated) Candidates 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 j