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

TikTok
San Jose, California

About the job

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!

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.

Qualifications

Minimum

1. Currently pursuing a BS/MS in Computer Science, Artificial Intelligence, Mathematics, Electronic Information Engineering, or a related field

2. Must be able to commit to a 12-week full-time work period during Summer 2026

3. Experience or coursework in AI/ML model development, particularly in computer vision and image generation.

4. Passion for AI and content creation, with the ability to design AI solutions aligned with business objectives.

5. Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) and generative models (e.g., Diffusion Models, GANs, VAEs).

Preferred

1. Hands-on experience in model development and AI project deployment, with exposure to multimodal classification, retrieval, content matching, or video captioning.

2. Strong skills in creating high-quality content using LLM/MLLM/AIGC technologies.

3. Knowledge of the latest trends in AI subfields such as audio, image, video, and natural language processing, with preference for candidates who have top-tier publications in relevant AI areas.

4. Familiarity with reinforcement learning and post-training optimization techniques.