AIGC Engineering Intern – Creative Ecosystem Development

Job Description

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

The Tone:
This is an internship at TikTok, located in Los Angeles, CA, for Summer 2026. TikTok is a leading destination for short-form mobile video, with a mission to inspire creativity and bring joy. This role is crucial to the TikTok Ads Creative & Ecosystem team, whose mission is to address the challenge of producing effective ad creatives at scale. The work involves building industry-leading technology solutions for understanding, generating, and optimizing ad creatives and landing pages. This contributes directly to powering products and driving value for advertisers, creators, and the entire ecosystem.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: In-person, Los Angeles, CA
• Pay: $45–$60 hourly
• Team: TikTok Ads Creative & Ecosystem team (Monetization Technology – Ads Creative AI)
• Mission: Solve the dilemma of creating effective ad creatives at scale by building industry-leading tech solutions for understanding, generating, and optimizing ads creatives and landing pages.
• Tech Stack: Python, PyTorch, TensorFlow, JAX

What You’ll Actually Do
• Development: Assist in the development and maintenance of the AIGC generation architecture for ad creatives, supporting efficient data processing pipelines and strategy frameworks.
• Data Management: Help manage and maintain features and sample data relevant to AIGC, ensuring infrastructure support for training and inference of AIGC models.
• Platform Enhancement: Contribute to enhancing platform capabilities by supporting the design of flexible workflows for ad creative generation scenarios.
• Collaboration: Work closely with product and design teams to understand business requirements and assist in translating them into scalable AIGC solutions for personalized ad creative generation.
• Optimization: Support performance monitoring and optimization of AIGC models, identifying areas for improvement to enhance the quality and efficiency of ad creatives generated at scale.

The Must-Haves
• Background: Currently pursuing a BS/MS in Computer Science, AI, Machine Learning, or a related field.
• Experience: Experience with building and optimizing data pipelines for AI model training and deployment through coursework or internships, and familiarity with AIGC technologies and their application in ad creative generation.
• Skills: Proficiency in Python, experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX, solid understanding of algorithms and data management, and strong communication skills.
• Bonus: Prior internship or research experience in AIGC (particularly in ad creative or content generation), knowledge of workflow orchestration tools and model deployment systems, and exposure to cloud technologies and distributed systems for scalable AI operations.