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软件工程师 - 基础设施,TikTok 搜索引擎

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 - Infrastructure, TikTok Search Engine

岗位职责

About the Team
Our Search Team is responsible for building and owning TikTok's search engine, which provides our users the best search experience.
On the TikTok Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system.
We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
Responsibilities
• Optimize the searching quality to provide TikTok's users the best search experience • Combine your understanding of product objectives and take full advantage of modern machine learning and information retrieval techniques to improve search quality and perception • Build the core systems and algorithms development including query understanding, result ranking, query recommendation, system reliability, and etc.

申请条件

Minimum Qualifications
• BS degree in Computer Science, Computer Engineering, or other relevant majors
• At least 2+ years of experience in developing and implementing large-scale consumer-facing services/products and/or building backend services for large-scale consumer-facing applications
• Proficiency in the following languages but not limited to: C/C++, Python, Java or Golang
• Effective team communication and collaboration skills.
Preferred Qualifications
• Working knowledge in one of the following or similar domains: search, recommendation, ranking, ads, etc.
• Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack
• Experience with Big Data Frameworks, such as hadoop, spark, flink, etc.

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

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