AI-Driven Design Systems Intern

TikTok

San Jose (CA)

On-site

USD 34,000 - 49,000

Part time

14 days+

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Benefits offered by this job

Health insurance

Housing allowance

Paid holidays

Job summary

TikTok invites student designers to join an internship to work on AI-enabled design systems and tools. You will help translate design specs into multi‑platform implementations and contribute to the evolution of design tooling alongside experienced engineers.

You will gain hands-on experience with AI-powered design workflows, participate in data labeling, and collaborate across global teams to deliver high‑quality experiences in streaming and short‑form video contexts.

Qualifications

Currently pursuing an Undergraduate, Master's degree in HCI, AI, Computer Science, Design, or a related technical discipline.
Proficient in Vibe Coding with tools such as Cursor and Claude Code; able to deliver high-fidelity interactive prototypes end-to-end from product/design concepts.
Data-and business-savvy with strong design taste—able to curate and refine from AI-generated content, turning ordinary outputs into high-quality results.
Self-motivated, hands-on, and learning-oriented, with a habit of reflection and summarization.
Strong communication and collaboration skills, optimistic, and adaptable to a fast-paced environment.
Passionate about design engineering and technology innovation, intellectually curious, with a global perspective.

Responsibilities

Drive AI transformation of design systems and workflows—explore how AI agents, skills, and tools integrate with design, making design systems an asset that AI can read, consume, and generate from.
Build and iterate on internal AI design tools using Vibe Coding (Cursor, Claude Code) to develop agents, skills, and tools that accelerate team adoption.
Explore and build automated asset generation tools; maintain them to improve design output efficiency.
Participate in data production and aesthetic labeling, converting high-quality data into training materials that support design system and AI model evolution.
Partner with engineering teams to translate design system specs and components into high-quality multi-platform implementations, ensuring cross-platform consistency.
Monitor user experience across live streaming and short-video scenarios; validate and iterate designs based on business metrics (e.g., revenue, broadcast initiation rates).