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人才招聘项目实习生 - 2026年入职

雇主

TikTok

地点

远程 · California · San Jose · 美国

待遇

$面议

工作模式

远程

截止日期

1月7日

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岗位摘要

Support technical talent acquisition projects, sourcing strategies, and hiring events in a fast-pace

岗位职责

About the Team
Global Monetization Productand Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok.
Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity.
As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment.
This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Responsibilities:
- Support hiring managers and recruiters across both English and Mandarin-speaking regions to understand technical requirements, learn how to define candidate profiles, and help calibrate talent needs.
- Assist in developing and executing sourcing strategies to build a pipeline of top-tier technical talent for critical roles under the guidance of experienced team members.
- Learn to identify and engage passive candidates through various channels, including LinkedIn, GitHub, Stack Overflow, and other technical communities.
- Participate in refining our sourcing processes and tools to help boost efficiency, candidate quality, and the overall effectiveness of our hiring funnel.
- Support various talent acquisition projects, such as organizing virtual hiring events, gathering data for market intelligence reports, and assisting with diversity-focused sourcing initiatives.

申请条件

No specific requirements mentioned.

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