Multimodal Large Model Application Engineer intern - 2025 Start
TikTok
Description
Responsibilities
The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, TikTok Lite, etc. We are building platform foundations, leveraging data and ML models, and providing end-to-end solutions to power global growth. Typical Growth projects including SEO Sharing, Incentive etc.
We are looking for talented individuals to join us for an internship in 2025. 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.
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 early.
Successful candidates must be able to commit to at least 3 months long internship period. Successful candidates must be able to commit to either of the following Internships
- From January to June
- From
May to August (Summer) Responsibilities:
- Participated in the design and development of the paid advertising system for global user growth in TikTok, Lemon8, and other services.
- Applied large model capabilities to explore tasks such as creative insights, e-commerce product testing, intelligent templates, and AIGC creative effectiveness validation.
- Participated in the development of algorithm strategies for scenarios such as ad creation, budgeting & bidding control, creative demand estimation, and effectiveness attribution.
Minimum Qualifications
- Master/PhD degree graduate students in the class of 2026, majoring in Computer Science, Software Engineering, Information Technology, or related fields.
- Possess knowledge of algorithms and data structures, operating systems, and network programming, with strong programming and system design skills.
- Apply multi-modal large models to the understanding and generation of images, videos and other content, and be familiar with the training and tuning of large models.
- Familiar with large model capabilities such as ChatGPT, Diffusion, ControlNet, etc., and have practical application experience.
- Familiar with commonly used deep learning frameworks, and have a certain understanding of deep learning algorithms (LR, DNN, GBDT, etc.).
- Participation in deep learning applications and large model application development is preferred, along with experience in engineering and algorithm architecture design.
Preferred Qualifications:
- Passion for technology, good communication skills and team spirit
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. If you have any questions, please reach out to us at apac-earlycareers@tiktok.com