Software Engineer Intern (Monetization Technology - Ads Creative AI) - 2026 Summer (BS/MS)

Software Engineer Intern (Monetization Technology - Ads Creative AI) - 2026 Summer (BS/MS)

Location: San Jose

Employment Type: Intern

Job Code: A49617

Responsibilities:

A "creative" is the ad (in the form of a short-form video) served to TikTok users, composed of video, background music, call-to-action card, post-click landing page, and other formats that get delivered to users. A good ad creative is effective, yet difficult to produce, especially at the scale of TikTok advertising. The TikTok Ads Creative & Ecosystem team's mission is to solve the above dilemma, by building industry-leading tech solutions for ads creative/landing page understanding, production/generation, and optimization, to inspire and empower advertisers, creators, and other 3rd parties in the ecosystem to create and deliver the best engaging creative experiences to the end users. Our work is at the core of TikTok and creator monetization. Examples of our team's work include TikTok video editor, AI-powered smart video generation (we are also exploring AIGC), and TikTok creative exchange (a creative marketplace to connect TikTok advertisers with creators or third-party creative agencies). We are user/product oriented and dedicated to technical excellence. We aim to drive and lead the technology renovation in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are excited to grow advertisers' and users' business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team! 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. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: - May 11th, 2026 - May 18th, 2026 - May 26th, 2026 - June 8th, 2026 - June 22nd, 2026 Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period.

Qualifications:

Minimum Qualifications: 1. Currently pursuing a BS/MS in Computer Science, AI, Machine Learning, or a related field 2. Must be able to commit to working for 12 weeks during Summer 2026. 3. Experience with building and optimizing data pipelines for AI model training and deployment through coursework or internships. 4. Familiarity with AIGC technologies and their application in ad creative generation, including understanding model training and inference requirements. 5. Proficiency in Python, with experience using deep learning frameworks such as PyTorch, TensorFlow, or JAX. 6. Solid understanding of algorithms, data management, and a demonstrated ability to work collaboratively across teams. 7. Strong communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences.

Preferred Qualifications: 1. Prior internship or research experience in AIGC, particularly in ad creative or content generation. 2. Knowledge of workflow orchestration tools and experience with model deployment systems. 3. Exposure to cloud technologies and distributed systems for scalable AI operations. 4. Strong problem-solving abilities, with the capacity to design and implement efficient, scalable solutions.