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AI软件工程师毕业生 - 2027年入职

雇主

TikTok

地点

California · San Jose · 美国

待遇

$面议

工作模式

线下

截止日期

1月8日

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岗位摘要

Join TikTok's PGC team as a graduate AI Software Engineer to build backend systems for creator monet

岗位职责

The TikTok Professionally Generated Content (PGC) team builds the product and platform capabilities that help professional creators grow, create, monetize, and expand their reach.
We deepen support for high-value verticals such as music and short drama, enriching the range of content on the platform so users find high-quality, diverse professional work.
Scaling a diverse, sustainable professional content ecosystem across global markets requires building for different content formats and business models, aligning creator incentives with audience value, and upholding copyright and content integrity standards.
You will shape the creator support system and the content ecosystem, raising the quality of what people discover on TikTok.
About the Team
The TikTok Eng-PGC-OGC&Creator Strategy-Subscription&Payment team builds technology that helps TikTok identify, incentivize, and grow high-quality professionally generated content while enabling creators to build sustainable careers on the platform.
We develop the strategy and engineering infrastructure that turns creator and platform goals into scalable monetization products, product experiences, and governance solutions.
The team's core business is In-App Purchase (IAP), which covers PGC creator subscriptions and paid short drama.
We build the backend systems behind these products, including purchase and entitlement flows, subscription lifecycle management, content unlocking, and revenue settlement, so that creators and content partners can monetize premium content directly with their audiences across global markets.
We work at the intersection of large-scale backend engineering, creator strategy, monetization, and trust and safety.
You will collaborate closely with Product, Data Science, Research, Design, Operations, and Trust and Safety teams to improve high-quality content supply, creator value, transparency, and the scalability of our creator ecosystem.
We are looking for talented individuals to join our team.
As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Design, develop, and maintain backend services for TikTok PGC In-App Purchase (IAP) products, including PGC creator subscriptions, paid short drama, creator and consumer experience, governance, and payout.
- Build reliable and scalable systems that translate product and creator strategy into configurable purchase, entitlement, subscription, experimentation, governance, and financial workflows.
- Partner with Product, Data Science, Research, Operations, and Trust and Safety teams to understand creator and business needs, evaluate trade-offs, and deliver well-designed technical solutions.
- Improve the correctness, performance, availability, observability, and data integrity of large-scale, data-intensive systems through testing, monitoring, code reviews, and technical documentation.
- Contribute to technical design and implementation, take ownership of projects from development through launch, and use data and feedback to drive ongoing product and system iteration.

申请条件

Successful candidates must be able to commit to an onboarding date by the end of the year.
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.

雇主简介

TikTok is a leading short-form video platform that develops core training and serving infrastructure for large-scale recommendation systems and AI infrastructure for foundation models and LLMs.

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数据来源:TikTok

岗位信息来源于公开渠道,版权归原作者所有