Machine Learning Engineer Intern (Monetization Technology - Ads Creative AI) - 2026 Summer (BS/MS) job opportunity at Tiktok.



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Tiktok Machine Learning Engineer Intern (Monetization Technology - Ads Creative AI) - 2026 Summer (BS/MS)
Experience: 1-year
Pattern: full-time
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Salary:
Status:

Ads Creatives

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degreeBachelor's (B.Sc.)
loacation SAN JOSE, CA, United States Of America
loacation SAN JOSE, CA....United States Of America

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 quote goes "creativity is the soul of advertising", because 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. Responsibilities: 1. #AI Image Generation and #Editing Support: Assist in understanding advertising creative requirements and market trends, contributing to the development and optimization of image generation and editing functionalities using AIGC technologies and LLMs to enhance ad performance and creative quality. 2. Must be able to commit to a 12-week full-time work period during Summer or Fall 2026. 3. Model Training Assistance: Support the training and fine-tuning processes for image generation models, including post-training optimization and reinforcement learning, helping ensure high-quality and business-relevant model outputs. 4. #Data #Management and Preprocessing: Assist in the preparation of data for model training by supporting workflows such as data collection, cleaning, validation, and preprocessing, ensuring the accuracy and quality of training datasets. 5. Technology Research Support: Stay informed about the latest advancements in multimodal and generative AI technologies, providing research assistance and supporting the integration of new technologies to improve product capabilities.

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