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信息流内容理解软件工程师

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

Software Engineer role focusing on content understanding architecture for TikTok Feeds, involving de

岗位职责

About the Team:
The TikTok Feeds Recommendation Architecture team is responsible for the design and development of TikTok's For You Feed recommendation system.
Our scope spans the entire online and offline recommendation pipeline, including strategy, modeling, and data infrastructure.
We build scalable and efficient infrastructure to support rapid algorithm iteration, tackle massive throughput challenges, and enhance system performance, cost-efficiency, and stability.
Our mission is to abstract and generalize core infrastructure services, components, and productivity tools that empower the recommendation system at scale.
Responsibilities - What You'll Do
- Participate in the engineering architecture requirement alignment, design, and implementation for various scenarios related to TikTok content understanding.
- Contribute to improving R&D efficiency across content understanding scenarios, including but not limited to testing, deployment, monitoring, and root cause analysis.
- Responsible for optimizing system stability, performance, and scalability across different scenarios.

申请条件

Minimum Qualifications
- Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
- Solid programming and algorithm foundations; proficient in Python, Go, C++, or other programming languages.
- Strong backend development skills, including but not limited to storage, service orchestration, caching, and concurrency.
- Good product sense, strong problem-solving skills, and excellent teamwork and communication abilities.
Preferred Qualifications:
- Knowledge of machine learning and familiarity with at least one mainstream machine learning framework (e.g., TensorFlow or PyTorch).
- Experience in designing high-traffic service architectures or working extensively with distributed computing.

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