Generative AI Intern – Generative AI

Job Description

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

The Tone:
This is an internship at TikTok, a global technology company with offices in various locations, including Los Angeles. TikTok builds a leading destination for short-form mobile video, focused on inspiring creativity and bringing joy to its users worldwide. This role is within the Ads Creative & Ecosystem team, which is vital for TikTok’s core and creator monetization efforts. The team aims to solve the challenge of producing effective and engaging ad creatives at scale through advanced AI solutions, inspiring and empowering advertisers, creators, and third parties within the ecosystem.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: Unspecified (in-person, potential for housing allowance; global offices include Los Angeles, Singapore, New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo)
• Pay: $45–$60 hourly
• Team: Ads Creative & Ecosystem team (Monetization Technology – Ads Creative AI)
• Mission: To build industry-leading tech solutions for ads creative/landing page understanding, production/generation, and optimization using AI to enhance ad performance and creative quality.
• Tech Stack: PyTorch, TensorFlow, Diffusion Models, GANs, VAEs, LLM/MLLM/AIGC technologies

What You’ll Actually Do
• AI Image Generation: 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.
• Model Training: 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.
• Data Management: 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.
• Technology Research: 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.

The Must-Haves
• Background: Currently pursuing a BS/MS in Computer Science, Artificial Intelligence, Mathematics, Electronic Information Engineering, or a related field.
• Experience: Coursework or experience in AI/ML model development, particularly in computer vision and image generation. Must be able to commit to a 12-week full-time work period during Summer 2026.
• Skills: Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) and generative models (e.g., Diffusion Models, GANs, VAEs). Ability to design AI solutions aligned with business objectives.
• Bonus: Hands-on experience in model development and AI project deployment, with exposure to multimodal classification, retrieval, content matching, or video captioning. Strong skills in creating high-quality content using LLM/MLLM/AIGC technologies. 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. Familiarity with reinforcement learning and post-training optimization techniques.