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软件工程师毕业生(数据架构 - 人工智能)

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 Recommendation Architecture Team as a Software Engineer Graduate to build and optimize

岗位职责

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation products to provide the most stable and best experience for our TikTok users.
University graduates are important parts to our team with your fresh ideas and creative thoughts.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities.
Co-create a future driven by your inspiration with TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. We will prioritize candidates who are able to commit to these start dates.
Please state your availability and graduation date clearly in your resume.
Applications will be reviewed on a rolling basis.
We encourage you to apply early.
Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for.
The application limit is applicable to TikTok and its affiliates' jobs globally.
Responsibilities - What You'll Do
• Build and maintain high performance online services for TikTok recommendation system to support various types of products, such as For You Feed, E-commerce, Social, etc.
• Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;
• Build globalized large-scale recommendation system;
• Design and develop high performance computing frameworks and storage systems.

申请条件

Must be able to commit to an onboarding date by the end of year 2026. Please state your availability and graduation date clearly in your resume.

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