Machine Learning Engineer Graduate (Monetization Technology - GenAI , Ads Creative & Ecosystem) - 2026 Start (BS/MS)

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.

TikTok Ads Creative & Ecosystem team tackles the challenge of creating engaging and effective ad creatives at scale. Our mission is to build cutting-edge tech solutions for ad understanding, production, and optimization, empowering advertisers, creators, and partners to deliver the best creative experiences.

The team is building platforms to provide in-depth and unique AI-driven data insights to provide creative guidance to advertisers, which is the key for their ads planning and iteration. We are striving to focus on creative insights direction, grow 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 our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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.

Responsibilities:
1. AI-Powered Video Editing: Assist in developing AI-driven video editing features, including multilingual script generation, video clip recommendations, and automatic video enhancement.
2. Automated Image/Video Generation: Contribute to building systems that generate images and videos from content descriptions and visual references, leveraging data-driven strategies to improve content quality.
3. Model Training and Fine-tuning: Participate in training and fine-tuning machine learning models for content generation, ensuring high quality and relevance of outputs.
4. Data Management and Preprocessing: Assist in preparing and cleaning data for model training, ensuring data quality and supporting effective model performance.
5. Collaboration and Problem Solving: Work with cross-functional teams, including engineers and product managers, to implement AI solutions that meet business requirements and optimize product features.
6. Technology Engaging: Stay updated on the latest advancements in multimodal and generative AI, integrating relevant technologies into product development to enhance capabilities.